Triple

T717364
Position Surface form Disambiguated ID Type / Status
Subject Occitanie E14341 entity
Predicate containsCity P294 FINISHED
Object Gers
Gers is a rural department in southwestern France known for its rolling countryside, Armagnac brandy, and traditional Gascon culture.
 E64830 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: Gers | Statement: [Occitanie, containsCity, Gers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gers
Context triple: [Occitanie, containsCity, Gers]
  • A. Gers
    Gers is a river in southwestern France that flows through the historical region of Gascony before joining the Garonne.
  • B. Gestel
    Gestel is a district in the Dutch city of Eindhoven, located in the province of North Brabant.
  • C. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • D. Goettsch
    Goettsch is a surname most prominently associated with the architecture firm Lohan Caprile Goettsch Architects and its architectural practice.
  • E. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • 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: Gers
Triple: [Occitanie, containsCity, Gers]
Generated description
Gers is a rural department in southwestern France known for its rolling countryside, Armagnac brandy, and traditional Gascon culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gers
Target entity description: Gers is a rural department in southwestern France known for its rolling countryside, Armagnac brandy, and traditional Gascon culture.
  • A. Gers chosen
    Gers is a river in southwestern France that flows through the historical region of Gascony before joining the Garonne.
  • B. Gestel
    Gestel is a district in the Dutch city of Eindhoven, located in the province of North Brabant.
  • C. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • D. Goettsch
    Goettsch is a surname most prominently associated with the architecture firm Lohan Caprile Goettsch Architects and its architectural practice.
  • E. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • F. None of above.

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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a577658881909c12951d63d96377 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcb77bc481909d79542001fafbd2 completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5de57bbec81908a5d1202299194f4 completed March 2, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69a60952c6388190a23a178d695eec6e completed March 2, 2026, 10:04 p.m.
Created at: March 1, 2026, 7:37 p.m.