Triple

T10131580
Position Surface form Disambiguated ID Type / Status
Subject Gustave Caillebotte E226349 entity
Predicate hasWorkLocation P1527 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: [Gustave Caillebotte, hasWorkLocation, Yerres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yerres
Context triple: [Gustave Caillebotte, hasWorkLocation, 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33557a88190b5fb1938646d8532 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5ce3fcc8190b1d07dbba34d6bff completed April 5, 2026, 10:44 p.m.
Created at: March 30, 2026, 9:06 p.m.