Triple

T2160728
Position Surface form Disambiguated ID Type / Status
Subject Pont de la Concorde E46793 entity
Predicate hasOwner P347 FINISHED
Object City of Paris E568 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: City of Paris | Statement: [Pont de la Concorde, hasOwner, City of Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Paris
Context triple: [Pont de la Concorde, hasOwner, City of Paris]
  • A. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Paris
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • C. Cité
    Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
  • D. Metropolis of France
    The Metropolis of France is an ecclesiastical jurisdiction of the Ecumenical Patriarchate of Constantinople overseeing Greek Orthodox parishes and institutions throughout France.
  • E. La Ville Rose
    La Ville Rose is the affectionate nickname for the French city of Toulouse, referencing its distinctive pink-hued brick architecture.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe89e6ac8190b4b4bc0be4fe7aa9 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8578f708190be9f952e905eb6be completed March 9, 2026, 11 a.m.
Created at: March 4, 2026, 7:45 p.m.