Triple

T10533438
Position Surface form Disambiguated ID Type / Status
Subject Opéra district E248501 entity
Predicate hasLandmark P105 FINISHED
Object Rue de la Paix E591183 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: Rue de la Paix | Statement: [Opéra district, hasLandmark, Rue de la Paix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rue de la Paix
Context triple: [Opéra district, hasLandmark, Rue de la Paix]
  • A. Rue de la Paix chosen
    Rue de la Paix is a prestigious Parisian street renowned for its luxury jewelry boutiques and proximity to landmarks like Place Vendôme and the Opéra Garnier.
  • B. Avenue de la Paix
    Avenue de la Paix is a prominent street in Geneva, Switzerland, known for hosting numerous international organizations and diplomatic missions near the United Nations Office at Geneva.
  • C. Rue de la Loi
    Rue de la Loi is a major thoroughfare in Brussels, Belgium, known for housing key European Union institutions and Belgian government buildings.
  • D. Avenue de la République
    Avenue de la République is a street in Montrouge, France, that serves as a key thoroughfare in the town’s center.
  • E. Avenue de la République
    Avenue de la République is a major thoroughfare in Nice, France, known for connecting central squares like Place Garibaldi with surrounding commercial and residential areas.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a19b59c8190b00db7d5813ad37d completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac706dc4819093f06b368f03fe02 completed May 6, 2026, 9:02 p.m.
Created at: April 6, 2026, 12:30 p.m.