Triple

T15892365
Position Surface form Disambiguated ID Type / Status
Subject Brunoy E385357 entity
Predicate river P165 FINISHED
Object Yerres E841792 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: Yerres | Statement: [Brunoy, river, Yerres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yerres
Context triple: [Brunoy, river, Yerres]
  • A. Yerres chosen
    Yerres is a suburban commune in the Île-de-France region of northern France, known for its picturesque riverside landscapes that inspired Impressionist painters.
  • B. Senneville
    Senneville is a small, affluent suburban village located at the western tip of the Island of Montreal in Quebec, Canada.
  • C. Villeray
    Villeray is a residential neighborhood in Montreal, Quebec, known for its diverse population, local shops, and proximity to Jarry Park.
  • D. Haine-Saint-Paul
    Haine-Saint-Paul is a district or neighborhood within the city of La Louvière in the province of Hainaut, Belgium.
  • E. Cartierville
    Cartierville is a residential neighborhood in the northern part of Montreal, known for its diverse population and location along the Rivière des Prairies.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561f515081908ba4e68e1347a881 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0497cb481908e8ea4ebb9c4039d completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.