Triple

T2717687
Position Surface form Disambiguated ID Type / Status
Subject Angostura bitters E60005 entity
Predicate namedAfter P63 FINISHED
Object Angostura E154598 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: Angostura | Statement: [Angostura bitters, namedAfter, Angostura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angostura
Context triple: [Angostura bitters, namedAfter, Angostura]
  • A. Angostura chosen
    Angostura is a coastal municipality in the Mexican state of Sinaloa, known for its fishing activities and agricultural production.
  • B. Segunda Angostura
    Segunda Angostura is a narrow channel within the Strait of Magellan in southern Chile, known for its constricted waters and challenging navigation conditions.
  • C. Angostura bitters
    Angostura bitters is a concentrated aromatic bitters made from herbs and spices, widely used in classic cocktails and as a flavoring in beverages and food.
  • D. Pisco
    Pisco is a coastal city in southern Peru known for its nearby vineyards, production of the Pisco spirit, and proximity to the Paracas National Reserve.
  • E. Curaçao liqueur
    Curaçao liqueur is a sweet, often brightly colored orange-flavored liqueur originally made from the dried peels of the Laraha citrus fruit grown on the Caribbean island of Curaçao.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaad577c8190819d3c641c2406f4 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68c3ccc81909995d17651af27ed completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.