Triple

T3212745
Position Surface form Disambiguated ID Type / Status
Subject Bicol Region E67318 entity
Predicate shortName P43 FINISHED
Object Bicol E67318 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: Bicol | Statement: [Bicol Region, shortName, Bicol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bicol
Context triple: [Bicol Region, shortName, Bicol]
  • A. Bicol Region chosen
    Bicol Region is an administrative region in the southeastern part of Luzon in the Philippines, known for its active Mayon Volcano, spicy cuisine, and distinct Bikol-speaking culture.
  • B. Kankanaey
    Kankanaey are an indigenous ethnolinguistic group of the northern Philippines known for their terraced agriculture, rich oral traditions, and distinct language within the Cordillera region.
  • C. Cagayan Valley
    Cagayan Valley is a predominantly agricultural region in northeastern Luzon, Philippines, known for its vast river systems, fertile plains, and diverse ethnolinguistic communities.
  • D. Mimaropa
    Mimaropa is an administrative region in the Philippines composed of island provinces in the southwestern part of Luzon.
  • E. Visayas
    Visayas is a central group of islands in the Philippines known for its rich cultural heritage, vibrant festivals, and popular beach and diving destinations.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaabba8e481909118d9f888ddcd63 completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2771204e0819086ae2838a368589a completed March 12, 2026, 8:19 a.m.
Created at: March 8, 2026, 3:07 p.m.