Triple

T9441209
Position Surface form Disambiguated ID Type / Status
Subject Houilles E227648 entity
Predicate locatedNear P294 FINISHED
Object Carrières-sur-Seine E733961 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: Carrières-sur-Seine | Statement: [Houilles, locatedNear, Carrières-sur-Seine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrières-sur-Seine
Context triple: [Houilles, locatedNear, Carrières-sur-Seine]
  • A. Carrières-sur-Seine chosen
    Carrières-sur-Seine is a suburban commune in the Île-de-France region of north-central France, located along the Seine River to the west of Paris.
  • B. Bourgueil
    Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
  • C. Dourdan
    Dourdan is a commune in the Essonne department in the southern suburbs of Paris, France, known for its historic medieval castle and role as a terminus on the RER C suburban rail line.
  • D. Morsang-sur-Seine
    Morsang-sur-Seine is a small commune in the Essonne department in northern France, situated along the Seine River and within the southern suburbs of Paris.
  • E. Crosne
    Crosne is a small suburban commune in the Île-de-France region of northern France, located southeast of 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ee4f4a08190ada5ee14fec2b822 completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14be965e881909acda0a2df1b24b3 completed April 4, 2026, 5:35 p.m.
Created at: March 30, 2026, 7:50 p.m.