Triple

T57237
Position Surface form Disambiguated ID Type / Status
Subject Oppenheimer (2023 film) E1131 entity
Predicate worldPremiereLocation P128 FINISHED
Object Paris E568 NE FINISHED

How this triple was built (3 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: Paris | Statement: [Oppenheimer (2023 film), worldPremiereLocation, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Oppenheimer (2023 film), worldPremiereLocation, 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. Lyon
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • C. Toulouse
    Toulouse is a major city in southwestern France known for its aerospace industry, historic pink-brick architecture, and vibrant university and cultural life.
  • D. Strasbourg
    Strasbourg is a major French city on the Rhine known for hosting key European institutions, including the European Parliament and the Council of Europe.
  • E. Nantes
    Nantes is a historic port city in western France on the Loire River, known for its maritime heritage, cultural institutions, and vibrant arts scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: worldPremiereLocation
Context triple: [Oppenheimer (2023 film), worldPremiereLocation, Paris]
  • A. announcedInCity
    Indicates that an announcement or declaration was formally made within a particular city.
  • B. conventionCity
    Indicates that a city is the location where a particular convention or conference is held.
  • C. cityOfOriginal
    Indicates the city from which something or someone originally comes or was first created or established.
  • D. locatedIn
    Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
  • E. ceremonyLocation chosen
    Indicates the place where a ceremony is held or takes place.
  • F. None of above.

Provenance (4 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b915c9881908c798f4dacb39f1d completed Feb. 28, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2db4f527c819094ab6b1705358022 completed Feb. 28, 2026, 12:10 p.m.
PD Predicate disambiguation batch_69a24ac6799c8190b508933acc0a4c7d completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.