Triple

T7445970

Position	Surface form	Disambiguated ID	Type / Status
Subject	Villefranche-de-Rouergue	`E171879`	entity
Predicate	partOf	`P40`	FINISHED
Object	historical province of Rouergue The historical province of Rouergue was a former region of southern France, roughly corresponding to today’s Aveyron department, known for its rugged landscapes, medieval towns, and strong Occitan cultural heritage.	`E664942`	NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: historical province of Rouergue | Statement: [Villefranche-de-Rouergue, partOf, historical province of Rouergue]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: historical province of Rouergue
Context triple: [Villefranche-de-Rouergue, partOf, historical province of Rouergue]

A. historical province of Languedoc
The historical province of Languedoc was a large and influential region in southern France, known for its distinct Occitan culture, language, and role as a major center of medieval trade and politics.
B. historical province of Quercy
The historical province of Quercy was a former region of southwestern France centered around the city of Cahors, known for its limestone plateaus, medieval towns, and role within the old province of Guyenne.
C. historical province of Dauphiné
The historical province of Dauphiné was a former region in southeastern France centered around Grenoble, whose rulers bore the title "Dauphin" and traditionally served as heirs to the French throne.
D. historical province of La Marche
The historical province of La Marche was a former region of central France known for its rural landscapes, fortified towns, and role as a frontier territory between Limousin and Poitou.
E. historical province of Poitou
The historical province of Poitou was a former region in western France, centered around cities like Poitiers and Niort, known for its medieval political importance and distinctive rural landscapes.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: historical province of Rouergue
Triple: [Villefranche-de-Rouergue, partOf, historical province of Rouergue]

Generated description

The historical province of Rouergue was a former region of southern France, roughly corresponding to today’s Aveyron department, known for its rugged landscapes, medieval towns, and strong Occitan cultural heritage.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: historical province of Rouergue
Target entity description: The historical province of Rouergue was a former region of southern France, roughly corresponding to today’s Aveyron department, known for its rugged landscapes, medieval towns, and strong Occitan cultural heritage.

A. historical province of Languedoc
The historical province of Languedoc was a large and influential region in southern France, known for its distinct Occitan culture, language, and role as a major center of medieval trade and politics.
B. historical province of Quercy
The historical province of Quercy was a former region of southwestern France centered around the city of Cahors, known for its limestone plateaus, medieval towns, and role within the old province of Guyenne.
C. historical province of Dauphiné
The historical province of Dauphiné was a former region in southeastern France centered around Grenoble, whose rulers bore the title "Dauphin" and traditionally served as heirs to the French throne.
D. historical province of La Marche
The historical province of La Marche was a former region of central France known for its rural landscapes, fortified towns, and role as a frontier territory between Limousin and Poitou.
E. historical province of Poitou
The historical province of Poitou was a former region in western France, centered around cities like Poitiers and Niort, known for its medieval political importance and distinctive rural landscapes.
F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step	Stage	Batch ID	Status	When
creating	Elicitation	`batch_69c68a65402881908f7869368eb746fb`	completed	March 27, 2026, 1:47 p.m.
NER	Named-entity recognition	`batch_69c6f371be2081908feaeb9392cb65fe`	completed	March 27, 2026, 9:15 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69c827a6668c8190a88c6406684e7689`	completed	March 28, 2026, 7:10 p.m.
NEDg	Description generation	`batch_69c828ca24bc81909357b9f40a9004af`	completed	March 28, 2026, 7:15 p.m.
NED2	Entity disambiguation (via description)	`batch_69c8297c1de4819099acfac611a519e5`	completed	March 28, 2026, 7:18 p.m.

Created at: March 27, 2026, 3:14 p.m.