Triple

T5853408
Position Surface form Disambiguated ID Type / Status
Subject Bayamo E130090 entity
Predicate roadDistanceTo P7750 FINISHED
Object Holguín E161008 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: Holguín | Statement: [Bayamo, roadDistanceTo, Holguín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holguín
Context triple: [Bayamo, roadDistanceTo, Holguín]
  • A. Holguín Province chosen
    Holguín Province is a region in eastern Cuba known for its historic towns, sugarcane agriculture, and coastal tourism areas.
  • B. Villa Clara
    Villa Clara is a prominent Cuban baseball team known for its strong performances and rich history in the Cuban National Series.
  • C. Camagüey
    Camagüey is one of Cuba’s largest and oldest cities, known for its colonial architecture, maze-like historic center, and status as a key cultural and economic hub in the country’s interior.
  • D. San Juan de la Maguana
    San Juan de la Maguana is a historic city in the western Dominican Republic known as a regional agricultural center and gateway to the country’s central mountain range.
  • E. Guanabacoa
    Guanabacoa is a historic municipality of Havana, Cuba, known for its colonial heritage and strong Afro-Cuban religious and cultural traditions.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035529cf88190acc547ae839950e7 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d4fa68c08190bb656aef231a9df0 completed March 27, 2026, 7:05 p.m.
Created at: March 22, 2026, 3:55 p.m.