Triple

T2056091
Position Surface form Disambiguated ID Type / Status
Subject Hauts-de-Seine E45676 entity
Predicate contains P35 FINISHED
Object Bourg-la-Reine E112868 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: Bourg-la-Reine | Statement: [Hauts-de-Seine, contains, Bourg-la-Reine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bourg-la-Reine
Context triple: [Hauts-de-Seine, contains, Bourg-la-Reine]
  • A. Bourg-la-Reine chosen
    Bourg-la-Reine is a residential suburb in the southern outskirts of Paris, France, known for its convenient commuter access to the capital and its quiet, small-town atmosphere.
  • B. Créteil
    Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
  • C. 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.
  • D. Boulogne-Billancourt
    Boulogne-Billancourt is a densely populated suburban city just southwest of central Paris, known as a major economic and media hub in the Île-de-France region.
  • E. Rueil-Malmaison
    Rueil-Malmaison is a suburban commune in the western outskirts of Paris, France, known for its residential character, historical sites, and role as a base for major corporate headquarters.
  • 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_69b555f76b2c819084b3be0189ac453f completed March 14, 2026, 12:35 p.m.
Created at: March 4, 2026, 7:40 p.m.