Triple

T2343899
Position Surface form Disambiguated ID Type / Status
Subject Eure E45086 entity
Predicate flowsThroughCity P10456 FINISHED
Object Acquigny
Acquigny is a commune in northern France known for its historic château, picturesque setting, and location at the confluence of the Eure and Iton rivers.
 E319580 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: Acquigny | Statement: [Eure, flowsThroughCity, Acquigny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Acquigny
Context triple: [Eure, flowsThroughCity, Acquigny]
  • A. Armançon
    Armançon is a river in central-eastern France that flows through the Burgundy region before joining the Yonne River.
  • B. Viry-Châtillon
    Viry-Châtillon is a suburban commune in the southern outskirts of Paris, France, known for its residential character and location along the Seine River in the Essonne department.
  • C. Pougny
    Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
  • D. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • E. Laumière
    Laumière is a Paris Métro station on the city’s northeastern side, located in the 19th arrondissement near the Canal de l’Ourcq.
  • 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: Acquigny
Triple: [Eure, flowsThroughCity, Acquigny]
Generated description
Acquigny is a commune in northern France known for its historic château, picturesque setting, and location at the confluence of the Eure and Iton rivers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Acquigny
Target entity description: Acquigny is a commune in northern France known for its historic château, picturesque setting, and location at the confluence of the Eure and Iton rivers.
  • A. Armançon
    Armançon is a river in central-eastern France that flows through the Burgundy region before joining the Yonne River.
  • B. Viry-Châtillon
    Viry-Châtillon is a suburban commune in the southern outskirts of Paris, France, known for its residential character and location along the Seine River in the Essonne department.
  • C. Pougny
    Pougny is a small French commune, likely located near the Swiss border in the Auvergne-Rhône-Alpes region.
  • D. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • E. Laumière
    Laumière is a Paris Métro station on the city’s northeastern side, located in the 19th arrondissement near the Canal de l’Ourcq.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6afe38c81909deb1de2a1c4eda9 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69b12ded5f9c8190a0de21b631d970b0 completed March 11, 2026, 8:55 a.m.
NEDg Description generation batch_69b1316ee0708190bd27bb78f7f298d3 completed March 11, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69b1d6729f848190a275638f074c1729 completed March 11, 2026, 8:54 p.m.
Created at: March 4, 2026, 7:52 p.m.