Triple

T19057697
Position Surface form Disambiguated ID Type / Status
Subject Tablas Island E466441 entity
Predicate hasMunicipality P847 FINISHED
Object Alcantara NE NERFINISHED

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: Alcantara | Statement: [Tablas Island, hasMunicipality, Alcantara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alcantara
Context triple: [Tablas Island, hasMunicipality, Alcantara]
  • A. Alcantara chosen
    Alcantara is a coastal municipality located in the island province of Romblon in the Philippines.
  • B. Zamboanguita
    Zamboanguita is a coastal municipality in the Philippine province of Negros Oriental known for its diving spots and proximity to Apo Island.
  • C. Boca del Sierpe
    Boca del Sierpe is a narrow strait between Trinidad and Venezuela that forms one of the two main entrances from the Atlantic Ocean into the Gulf of Paria.
  • D. Canó
    Canó is a Spanish-language surname most prominently associated with Dominican former Major League Baseball star Robinson Canó.
  • E. Guaduas
    Guaduas is a historic town and municipality in the Cundinamarca Department of Colombia, known for its colonial architecture and role in the country’s independence era.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc0742288190a594be859184841a completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.