Triple

T1102912
Position Surface form Disambiguated ID Type / Status
Subject Artemisa Province E25420 entity
Predicate hasMunicipality P847 FINISHED
Object Bauta E27911 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: Bauta | Statement: [Artemisa Province, hasMunicipality, Bauta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bauta
Context triple: [Artemisa Province, hasMunicipality, Bauta]
  • A. Bauta chosen
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • B. Jandali
    Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
  • C. Kutaraja
    Kutaraja was the principal urban and political center of the Singhasari Kingdom, a powerful Javanese Hindu-Buddhist state in 13th-century Indonesia.
  • D. Bitra
    Bitra is a tiny, sparsely populated coral island in India’s Lakshadweep archipelago, known as one of the country’s least inhabited inhabited islands.
  • E. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c375848190baec4d534f489616 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ea6cc888190b06f640a1e4a5147 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:43 p.m.