Triple

T13980645
Position Surface form Disambiguated ID Type / Status
Subject Kamayo E336299 entity
Predicate hasDialect P4251 FINISHED
Object Central Kamayo E336299 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: Central Kamayo | Statement: [Kamayo, hasDialect, Central Kamayo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Kamayo
Context triple: [Kamayo, hasDialect, Central Kamayo]
  • A. Kamayo chosen
    Kamayo is an Austronesian language spoken primarily in parts of Mindanao in the Philippines, particularly in the Caraga region.
  • B. Malpaso
    Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
  • C. Malibcong
    Malibcong is a remote, mountainous municipality in the Philippine province of Abra known for its indigenous communities and largely undeveloped natural landscapes.
  • D. Lambuyao
    Lambuyao is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
  • E. Cayubaba
    Cayubaba is an indigenous language of Bolivia, spoken by the Cayubaba people in the Beni region and considered highly endangered.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea10dc88190b9720919a021e570 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e5f2008190a0701ae37ed5219d completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.