Triple

T5549718
Position Surface form Disambiguated ID Type / Status
Subject Kalinga language E145495 entity
Predicate hasDialect P4251 FINISHED
Object Pasil Kalinga E528220 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: Pasil Kalinga | Statement: [Kalinga language, hasDialect, Pasil Kalinga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasil Kalinga
Context triple: [Kalinga language, hasDialect, Pasil Kalinga]
  • A. Kalepa Baybayan
    Kalepa Baybayan was a renowned Native Hawaiian master navigator and cultural educator known for reviving and teaching traditional Polynesian wayfinding techniques on voyaging canoes such as Hōkūleʻa.
  • B. Butbut Kalinga chosen
    Butbut Kalinga is a dialect of the Kalinga language spoken by the Butbut people in the Kalinga province of the northern Philippines.
  • C. Lalakay
    Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • D. Basay
    Basay is a coastal municipality in the province of Negros Oriental in the Philippines, known for its fishing industry and natural attractions.
  • E. Fucales
    Fucales is an order of brown algae characterized by mostly marine, often large and structurally complex seaweeds that include genera such as Sargassum and Fucus.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe2aef481909944bc582c1f67a4 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cf6d9f48190a3ee3446973c7381 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:35 p.m.