Triple

T2056062
Position Surface form Disambiguated ID Type / Status
Subject Hauts-de-Seine E45676 entity
Predicate contains P35 FINISHED
Object Colombes E161076 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: Colombes | Statement: [Hauts-de-Seine, contains, Colombes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colombes
Context triple: [Hauts-de-Seine, contains, Colombes]
  • A. Colombes chosen
    Colombes is a suburban commune in the northwestern outskirts of Paris, France, known as a residential and historically significant town within the Île-de-France region.
  • B. Puteaux
    Puteaux is a suburban commune in the western outskirts of Paris, France, known for encompassing much of the La Défense business district.
  • C. Créteil
    Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
  • D. Courbevoie
    Courbevoie is a suburban commune in the Hauts-de-Seine department of the Île-de-France region, located just west of central Paris and known for encompassing part of the La Défense business district.
  • E. Cormeilles-en-Parisis
    Cormeilles-en-Parisis is a suburban commune in the northwestern outskirts of Paris, France, known for its residential character and views over the Seine valley.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9a9ce548190a5a3488fafb2e79e completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4029cfa148190baad6968cf6dad3a completed March 13, 2026, 12:27 p.m.
Created at: March 4, 2026, 7:40 p.m.