Triple

T9942385
Position Surface form Disambiguated ID Type / Status
Subject Inabaknon language E194113 entity
Predicate contactLanguage P8345 FINISHED
Object Waray language E10736 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 language | Statement: [Inabaknon language, contactLanguage, Waray language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waray language
Context triple: [Inabaknon language, contactLanguage, Waray language]
  • A. Waray language chosen
    Waray is an Austronesian language spoken primarily in the Eastern Visayas region of the Philippines, particularly on Samar and nearby islands.
  • B. Ifugao languages
    The Ifugao languages are a group of closely related Austronesian languages spoken by the Ifugao people of the northern Philippines, particularly in the mountainous areas of Luzon.
  • C. Waray of Samar
    Waray of Samar is a major regional language variety spoken on the island of Samar in the Eastern Visayas region of the Philippines.
  • D. Binisaya
    Binisaya is a major Austronesian language of the Philippines, widely spoken in the Central Visayas and parts of Mindanao.
  • 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 (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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6124a188190b41feadb7b2f8922 completed April 2, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257986a648190b72697e4644c9c1c completed April 5, 2026, 12:37 p.m.
Created at: March 30, 2026, 8:45 p.m.