Triple

T841895
Position Surface form Disambiguated ID Type / Status
Subject Mindanao E18195 entity
Predicate hasRegion P285 FINISHED
Object Caraga E49052 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: Caraga | Statement: [Mindanao, hasRegion, Caraga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caraga
Context triple: [Mindanao, hasRegion, Caraga]
  • A. Caraga chosen
    Caraga is an administrative region in northeastern Mindanao in the Philippines, known for its rich natural resources, coastal landscapes, and significant Cebuano-speaking population.
  • B. Negros Oriental
    Negros Oriental is a province in the Central Visayas region of the Philippines, known for its coastal cities, diverse marine life, and use of Cebuano as a major local language.
  • C. Negros Occidental
    Negros Occidental is a province in the Western Visayas region of the Philippines, known for its sugarcane industry, rich cultural heritage, and vibrant Hiligaynon-speaking population.
  • D. Capiz
    Capiz is a province in the Western Visayas region of the Philippines, known for its coastal landscapes, seafood, and use of the Hiligaynon language.
  • E. Zamboanga Peninsula
    Zamboanga Peninsula is a region in western Mindanao in the southern Philippines known for its cultural diversity, coastal cities, and mix of languages including Cebuano and Chavacano.
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abe6f0dc8190a1bebb5e21f4ceac completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac257c87b081909f153c8f275c3d45 completed March 7, 2026, 1:17 p.m.
Created at: March 1, 2026, 7:38 p.m.