Triple

T20025541
Position Surface form Disambiguated ID Type / Status
Subject Province of Leyte E494972 entity
Predicate hasMunicipality P847 FINISHED
Object Tunga 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: Tunga | Statement: [Province of Leyte, hasMunicipality, Tunga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tunga
Context triple: [Province of Leyte, hasMunicipality, Tunga]
  • A. Tunga chosen
    Tunga is a small inland municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
  • B. Tunga
    Tunga was a pioneering Brazilian contemporary artist known for his enigmatic sculptures, installations, and performances that blended alchemy, mythology, and psychoanalytic themes.
  • C. Tunga River
    The Tunga River is a major river in the Indian state of Karnataka that originates in the Western Ghats and is one of the two headstreams that join to form the Tungabhadra River.
  • D. Kayeli
    Kayeli is an extinct Austronesian language that was once spoken on Buru Island in Indonesia.
  • E. Urera
    Urera is a genus of flowering plants in the nettle family, known for its often stinging hairs and occurrence in tropical and subtropical regions.
  • 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.