Triple

T661406
Position Surface form Disambiguated ID Type / Status
Subject Paris Orly Airport E11762 entity
Predicate locatedNear P294 FINISHED
Object Paray-Vieille-Poste E15057 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: Paray-Vieille-Poste | Statement: [Paris Orly Airport, locatedNear, Paray-Vieille-Poste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paray-Vieille-Poste
Context triple: [Paris Orly Airport, locatedNear, Paray-Vieille-Poste]
  • A. Paray-Vieille-Poste chosen
    Paray-Vieille-Poste is a commune in the southern suburbs of Paris, France, known for encompassing much of Orly Airport.
  • B. Chêne-Bourg
    Chêne-Bourg is a municipality in western Switzerland located in the canton of Geneva, forming part of the Geneva metropolitan area near the French border.
  • C. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • D. Boncourt
    Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
  • E. Santenay
    Santenay is a wine-producing village in Burgundy, France, known for its predominantly red wines made from Pinot Noir and its location at the southern end of the Côte de Beaune.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa954988190841740a587ace466 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3963c588190b7116f3f7aad2687 completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:36 p.m.