Triple

T1270748
Position Surface form Disambiguated ID Type / Status
Subject Jean Zay E15702 entity
Predicate placeOfBirth P1 FINISHED
Object Loiret
Loiret is a department in north-central France, named after the Loiret River and known for its historic towns and proximity to the Loire Valley.
 E210466 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: Loiret | Statement: [Jean Zay, placeOfBirth, Loiret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loiret
Context triple: [Jean Zay, placeOfBirth, Loiret]
  • A. Yonne
    Yonne is a major river in north-central France that flows through the Burgundy region before joining the Seine.
  • B. Loir
    The Loir is a river in central France that flows through the regions of Pays de la Loire and Centre-Val de Loire before joining the Sarthe.
  • C. Loire
    The Loire is the longest river in France, renowned for its scenic valley dotted with historic châteaux and vineyards.
  • D. Nièvre
    Nièvre is a rural department in central France’s Bourgogne-Franche-Comté region, known for its rolling countryside, the Loire River, and its capital city Nevers.
  • E. Sarthe River
    The Sarthe River is a waterway in western France that flows through the regions of Normandy and Pays de la Loire before joining other rivers to form the Maine.
  • 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: Loiret
Triple: [Jean Zay, placeOfBirth, Loiret]
Generated description
Loiret is a department in north-central France, named after the Loiret River and known for its historic towns and proximity to the Loire Valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Loiret
Target entity description: Loiret is a department in north-central France, named after the Loiret River and known for its historic towns and proximity to the Loire Valley.
  • A. Yonne
    Yonne is a major river in north-central France that flows through the Burgundy region before joining the Seine.
  • B. Loir
    The Loir is a river in central France that flows through the regions of Pays de la Loire and Centre-Val de Loire before joining the Sarthe.
  • C. Loire
    The Loire is the longest river in France, renowned for its scenic valley dotted with historic châteaux and vineyards.
  • D. Nièvre
    Nièvre is a rural department in central France’s Bourgogne-Franche-Comté region, known for its rolling countryside, the Loire River, and its capital city Nevers.
  • E. Sarthe River
    The Sarthe River is a waterway in western France that flows through the regions of Normandy and Pays de la Loire before joining other rivers to form the Maine.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c0691d70819088e57c78ff34af1e completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69addf1c0e948190a903b58c802d44c2 completed March 8, 2026, 8:42 p.m.
NEDg Description generation batch_69addfb3860481908ff4eebfa3d06fa7 completed March 8, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_69ade027072481909b707bbfc47da4de completed March 8, 2026, 8:46 p.m.
Created at: March 1, 2026, 7:50 p.m.