Triple

T23358000
Position Surface form Disambiguated ID Type / Status
Subject Masbateño language E593102 entity
Predicate sharesLexiconWith P35118 FINISHED
Object Hiligaynon language 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: Hiligaynon language | Statement: [Masbateño language, sharesLexiconWith, Hiligaynon language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hiligaynon language
Context triple: [Masbateño language, sharesLexiconWith, Hiligaynon language]
  • A. Hiligaynon language chosen
    Hiligaynon is a major Austronesian language of the Philippines, widely spoken in Western Visayas and parts of Mindanao, particularly in and around Iloilo and Negros Occidental.
  • B. Kapampangan language
    Kapampangan is an Austronesian language of the Philippines primarily spoken in the Pampanga region of Central Luzon.
  • C. Waray language
    Waray is an Austronesian language spoken primarily in the Eastern Visayas region of the Philippines, particularly on Samar and nearby islands.
  • D. Ilocano language
    The Ilocano language is an Austronesian language widely spoken in northern Luzon and by migrant communities across the Philippines and abroad.
  • E. Cebuano language
    The Cebuano language is an Austronesian language widely spoken in the southern Philippines, particularly in the Visayas and parts of Mindanao.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a196b308190bfe9bb4b6e7ec363 completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:29 p.m.