Triple

T11044529
Position Surface form Disambiguated ID Type / Status
Subject West Indies Station E261102 entity
Predicate headquartersLocation P62 FINISHED
Object Antigua E82884 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: Antigua | Statement: [West Indies Station, headquartersLocation, Antigua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antigua
Context triple: [West Indies Station, headquartersLocation, Antigua]
  • A. Antigua chosen
    Antigua is a Caribbean island nation renowned for its numerous white-sand beaches, coral reefs, and role as a major tourist destination in the Lesser Antilles.
  • B. Antigua
    Antigua is a municipality located on the island of Fuerteventura in Spain’s Canary Islands, known for its traditional architecture and rural landscapes.
  • C. San Cristóbal
    San Cristóbal is a municipality in western Cuba located within Artemisa Province.
  • D. San Cristóbal
    San Cristóbal is a locality situated within Colombia’s Bolívar Department, known as part of the Caribbean region of the country.
  • E. San Cristóbal
    San Cristóbal is the former name of the historic highland city now known as San Cristóbal de las Casas in the Mexican state of Chiapas.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7982e08548190aec04099cef9453c completed April 9, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9f180688190ab2d1142b30a2836 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.