Triple

T3512044
Position Surface form Disambiguated ID Type / Status
Subject King of Antigua and Barbuda E74217 entity
Predicate jurisdiction P82 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: [King of Antigua and Barbuda, jurisdiction, Antigua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antigua
Context triple: [King of Antigua and Barbuda, jurisdiction, Antigua]
  • A. Antigua
    Antigua is a municipality located on the island of Fuerteventura in Spain’s Canary Islands, known for its traditional architecture and rural landscapes.
  • B. 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.
  • C. San Cristóbal
    San Cristóbal is a municipality in western Cuba located within Artemisa Province.
  • D. San Cristóbal
    San Cristóbal is an active stratovolcano in northwestern Nicaragua and one of the most prominent and frequently erupting volcanoes in the Central American region.
  • E. Grenada
    Grenada is a small Caribbean island nation known for its spice production, picturesque beaches, and lush mountainous interior.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc10b6b48190bedfed6d34afc425 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e7366e4819099b4a411343bdd90 completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.