Triple

T10471807
Position Surface form Disambiguated ID Type / Status
Subject A86 E246939 entity
Predicate passesNear P416 FINISHED
Object Créteil E224802 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: Créteil | Statement: [A86, passesNear, Créteil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Créteil
Context triple: [A86, passesNear, Créteil]
  • A. Créteil chosen
    Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
  • B. Corbeil-Essonnes
    Corbeil-Essonnes is a suburban commune in the southern outskirts of Paris, France, known as a local transport hub and residential area within the Île-de-France region.
  • C. Villeparisis
    Villeparisis is a suburban commune in the Île-de-France region of north-central France, located northeast of Paris in the Seine-et-Marne department.
  • D. Vanves
    Vanves is a suburban commune in the southwestern outskirts of Paris, France, known for its dense residential character and proximity to the capital.
  • E. Puteaux
    Puteaux is a suburban commune in the western outskirts of Paris, France, known for encompassing much of the La Défense business district.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5094cec788190a485c5c9e7cd024a completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce593bbc8190827ca217f43140b9 completed May 3, 2026, 10:38 p.m.
Created at: April 6, 2026, 12:20 p.m.