Triple

T10397934
Position Surface form Disambiguated ID Type / Status
Subject Misamis Oriental E245068 entity
Predicate isBorderedBy P224 FINISHED
Object Bukidnon E236288 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: Bukidnon | Statement: [Misamis Oriental, isBorderedBy, Bukidnon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bukidnon
Context triple: [Misamis Oriental, isBorderedBy, Bukidnon]
  • A. Bukidnon chosen
    Bukidnon is a landlocked, mountainous province in the Philippines known for its vast agricultural plantations, cool climate, and scenic highland landscapes.
  • B. Bontoc
    Bontoc is an Austronesian language spoken by the Bontoc people in the Mountain Province of the northern Philippines.
  • C. Bontoc
    Bontoc is a coastal municipality in the province of Southern Leyte in the Philippines known for its agricultural economy and rural communities.
  • D. Yakan
    Yakan is an Austronesian language spoken primarily by the Yakan people of Basilan and nearby areas in the southern Philippines.
  • E. Sugbuanon
    Sugbuanon refers to the Cebuano people, a Visayan ethnolinguistic group from the central and southern Philippines known for speaking the Cebuano language.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9d0de448190b0bfd4d6c87d47fa completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbbad25081908712601404734988 completed April 9, 2026, 7:19 p.m.
Created at: April 6, 2026, 12:07 p.m.