Triple

T14220266
Position Surface form Disambiguated ID Type / Status
Subject Trappes E352470 entity
Predicate locatedIn P40 FINISHED
Object Yvelines E44779 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: Yvelines | Statement: [Trappes, locatedIn, Yvelines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yvelines
Context triple: [Trappes, locatedIn, Yvelines]
  • A. Yvelines chosen
    Yvelines is a department in north-central France, west of Paris, known for the Palace of Versailles and its mix of historic towns, forests, and affluent suburbs.
  • B. Val-de-Marne
    Val-de-Marne is a suburban department in north-central France, southeast of Paris, known for its mix of residential communities, river landscapes along the Marne, and key transport links within the Île-de-France region.
  • C. Hauts-de-Seine
    Hauts-de-Seine is a suburban department in north-central France that forms part of the western inner ring around Paris and is known for hosting the major business district of La Défense.
  • D. 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.
  • E. Seine-et-Marne
    Seine-et-Marne is a largely rural department in north-central France east of Paris, known for its historic towns, agricultural landscapes, and attractions such as the Château de Fontainebleau and Disneyland Paris.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6213801c8190a47705cd890b9ae7 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d0008dc819088fcfbfe3640af47 completed May 8, 2026, 1:31 a.m.
Created at: April 10, 2026, 1:06 a.m.