Triple

T10853596
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Tourism of Cuba E256211 entity
Predicate usesAbbreviation P43 FINISHED
Object MINTUR E889804 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: MINTUR | Statement: [Ministry of Tourism of Cuba, usesAbbreviation, MINTUR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MINTUR
Context triple: [Ministry of Tourism of Cuba, usesAbbreviation, MINTUR]
  • A. MINTUR chosen
    MINTUR is the Cuban government ministry responsible for overseeing and developing the country’s tourism sector.
  • B. SERNATUR
    SERNATUR is Chile’s national tourism service responsible for promoting and developing the country’s tourism industry and destinations.
  • C. Minsait
    Minsait is a digital transformation and information technology consulting company that operates as the specialized IT and consulting arm of Indra Sistemas.
  • D. Mintil
    Mintil is a lesser-known Aslian language spoken by an indigenous community in the Malay Peninsula.
  • E. MITRANS
    MITRANS is the commonly used abbreviation for Cuba’s Ministry of Transport, the government body responsible for overseeing and regulating the country’s transportation systems and infrastructure.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75134299481909459fd87917261a7 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7cc0d648190afb0ce80bac7f3dc completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.