Triple

T20025564
Position Surface form Disambiguated ID Type / Status
Subject Province of Leyte E494972 entity
Predicate language P15 FINISHED
Object Waray-Waray 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: Waray-Waray | Statement: [Province of Leyte, language, Waray-Waray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waray-Waray
Context triple: [Province of Leyte, language, Waray-Waray]
  • A. Binisaya
    Binisaya is a major Austronesian language of the Philippines, widely spoken in the Central Visayas and parts of Mindanao.
  • B. Waray of Samar chosen
    Waray of Samar is a major regional language variety spoken on the island of Samar in the Eastern Visayas region of the Philippines.
  • C. Ilocano
    Ilocano refers to a major ethnolinguistic group from the northern Philippines, known for its distinct Ilocano language and rich agricultural and coastal cultural traditions.
  • D. Tagalog
    Tagalog is an Austronesian language primarily spoken in the Philippines and serves as the basis for the country’s national language, Filipino.
  • E. Bikol language
    The Bikol language is an Austronesian language spoken primarily in the Bicol Region of the Philippines, known for its several regional varieties and close relation to other Central Philippine languages.
  • 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.