Triple

T4606378
Position Surface form Disambiguated ID Type / Status
Subject Region IX E100446 entity
Predicate languageUsed P238 FINISHED
Object Tagalog E5261 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: Tagalog | Statement: [Region IX, languageUsed, Tagalog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tagalog
Context triple: [Region IX, languageUsed, Tagalog]
  • A. Tagalog chosen
    Tagalog is an Austronesian language primarily spoken in the Philippines and serves as the basis for the country’s national language, Filipino.
  • B. Filipino
    Filipinos are a Southeast Asian ethnolinguistic group native to the Philippines, known for their diverse Austronesian, Spanish, American, and Chinese cultural influences and a global diaspora.
  • C. Kapampangan language
    Kapampangan is an Austronesian language of the Philippines primarily spoken in the Pampanga region of Central Luzon.
  • D. Binisaya
    Binisaya is a major Austronesian language of the Philippines, widely spoken in the Central Visayas and parts of Mindanao.
  • 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 (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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd599c50d08190ab226cd0691e29f9 completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69be034e509c8190b2da7e2eaf2acb48 completed March 21, 2026, 2:32 a.m.
Created at: March 20, 2026, 1:12 p.m.