Triple

T9914928
Position Surface form Disambiguated ID Type / Status
Subject Hippodrome d'Enghien-Soisy E185843 entity
Predicate locatedIn P40 FINISHED
Object Val-d'Oise E45085 NE FINISHED

How this triple was built (2 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: Val-d'Oise | Statement: [Hippodrome d'Enghien-Soisy, locatedIn, Val-d'Oise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val-d'Oise
Context triple: [Hippodrome d'Enghien-Soisy, locatedIn, Val-d'Oise]
  • A. Val-d'Oise chosen
    Val-d'Oise is a department in northern France that forms part of the Paris metropolitan region and includes both suburban areas and rural landscapes.
  • B. Vallée de la Marne
    Vallée de la Marne is a key subregion of France’s Champagne wine area, known for its vineyards along the Marne River and its significant production of Pinot Meunier–based sparkling wines.
  • C. Seine-et-Oise
    Seine-et-Oise was a former department of France surrounding Paris, abolished in 1968 and divided into several new departments including Yvelines.
  • D. Oise-Aisne
    Oise-Aisne is a region in northern France that was a major World War I battlefield, notably during the Aisne and Oise-Aisne offensives.
  • E. Thiérache
    Thiérache is a rural, historically fortified region in northern France known for its bocage landscapes, brick churches, and traditional dairy production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53ba1ac8190ba655133b81596d7 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d269d24ac4819081683e6ac5db7015 completed April 5, 2026, 1:55 p.m.
Created at: March 30, 2026, 8:41 p.m.