Triple

T20025536
Position Surface form Disambiguated ID Type / Status
Subject Province of Leyte E494972 entity
Predicate hasMunicipality P847 FINISHED
Object Tabontabon 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: Tabontabon | Statement: [Province of Leyte, hasMunicipality, Tabontabon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tabontabon
Context triple: [Province of Leyte, hasMunicipality, Tabontabon]
  • A. Tabontabon chosen
    Tabontabon is a small municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
  • B. Maromokotro
    Maromokotro is the tallest mountain in Madagascar, located in the island’s northern highlands.
  • C. Tambolaka
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • D. Wat Botum
    Wat Botum is a historic Buddhist temple in central Phnom Penh, known for its ornate stupas and close association with Cambodia’s royal and religious life.
  • E. Pararaton
    Pararaton is a Javanese historical chronicle, also known as the "Book of Kings," that narrates the legendary and political history of the Singhasari and Majapahit kingdoms in Indonesia.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628d5b8c8190a35f95ac4a016550 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.