Triple

T20025519
Position Surface form Disambiguated ID Type / Status
Subject Province of Leyte E494972 entity
Predicate hasMunicipality P847 FINISHED
Object Dulag 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: Dulag | Statement: [Province of Leyte, hasMunicipality, Dulag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dulag
Context triple: [Province of Leyte, hasMunicipality, Dulag]
  • A. Dulag
    Dulag was the abbreviated German term for World War II transit camps used by the Wehrmacht to process and interrogate prisoners of war and civilians.
  • B. Dulag chosen
    Dulag is a coastal municipality on the island of Leyte in the Philippines, historically notable as one of the main landing sites for Allied forces during the Battle of Leyte Gulf in World War II.
  • C. Dulegaya
    Dulegaya is an indigenous Chibchan language spoken by the Guna (Kuna) people of Panama and Colombia.
  • D. Dumalag
    Dumalag is a municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its rural landscapes and small-town character.
  • E. Nagdar
    Nagdar is a small village located within Pakistan’s scenic Neelum Valley in Azad Kashmir.
  • 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.