Triple

T9286503
Position Surface form Disambiguated ID Type / Status
Subject Sus cebifrons E223405 entity
Predicate historicalRange P13449 FINISHED
Object Siquijor E238064 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: Siquijor | Statement: [Sus cebifrons, historicalRange, Siquijor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siquijor
Context triple: [Sus cebifrons, historicalRange, Siquijor]
  • A. Siquijor chosen
    Siquijor is a small island province in the central Philippines known for its white-sand beaches, coral reefs, and folklore surrounding mysticism and traditional healing.
  • B. Sorsogon
    Sorsogon is a province in the Bicol Region of the Philippines known for its coastal landscapes, whale shark interactions in Donsol, and rich Bikolano culture.
  • C. Occidental Mindoro
    Occidental Mindoro is a province in the Mimaropa region of the Philippines known for its agricultural economy, coastal communities, and proximity to the island of Mindoro’s rich marine and natural resources.
  • D. Zambales
    Zambales is a coastal province in the Central Luzon region of the Philippines, known for its beaches, mangoes, and ethnolinguistic diversity.
  • E. 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.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0821b1108190b16e9570b09a14de completed April 1, 2026, 11:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0c75b9d308190918f181e13df955a completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:35 p.m.