Triple

T7580029
Position Surface form Disambiguated ID Type / Status
Subject Proto-Bisayan E179461 entity
Predicate ancestorOf P369 FINISHED
Object Waray-Waray E335884 NE FINISHED

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: [Proto-Bisayan, ancestorOf, Waray-Waray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waray-Waray
Context triple: [Proto-Bisayan, ancestorOf, 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. Tagalog
    Tagalog is an Austronesian language primarily spoken in the Philippines and serves as the basis for the country’s national language, Filipino.
  • D. 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.
  • E. Masbateño Bisaya
    Masbateño Bisaya is a Visayan language variety spoken primarily on Masbate Island in the Philippines, influenced by both Cebuano and Hiligaynon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f975bbc08190aec30f902eaea494 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861735c7c81908e2c9fcbb1005ec3 completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:52 p.m.