Triple

T15806039
Position Surface form Disambiguated ID Type / Status
Subject Bikol Central E383218 entity
Predicate hasAlternativeName P39 FINISHED
Object Bikol Naga E336301 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: Bikol Naga | Statement: [Bikol Central, hasAlternativeName, Bikol Naga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bikol Naga
Context triple: [Bikol Central, hasAlternativeName, Bikol Naga]
  • A. Bikol Naga chosen
    Bikol Naga is a major dialect of the Central Bikol language spoken in and around Naga City in the Bicol Region of the Philippines.
  • B. Bukidnon
    Bukidnon is a landlocked, mountainous province in the Philippines known for its vast agricultural plantations, cool climate, and scenic highland landscapes.
  • C. Yakan
    Yakan is an Austronesian language spoken primarily by the Yakan people of Basilan and nearby areas in the southern Philippines.
  • D. Ibanag
    Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
  • E. Buhid Mangyan
    Buhid Mangyan are an indigenous Mangyan group of Mindoro in the Philippines, known for their distinct language, traditional upland farming lifestyle, and unique Buhid script.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52682548190998d8b6a08982877 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998fa5588190b28efc2f342405aa completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.