Triple

T6288725
Position Surface form Disambiguated ID Type / Status
Subject Samar Sea E140962 entity
Predicate borderedBy P224 FINISHED
Object Biliran E261520 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: Biliran | Statement: [Samar Sea, borderedBy, Biliran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biliran
Context triple: [Samar Sea, borderedBy, Biliran]
  • A. Biliran chosen
    Biliran is an island province in the central Philippines known for its volcanic landscapes, waterfalls, and coastal scenery.
  • B. Sibulan
    Sibulan is a coastal municipality in the Philippine province of Negros Oriental known as a gateway to Dumaguete City and for its local airport and seaport.
  • C. Bislig
    Bislig is a coastal city in the Caraga region of Mindanao in the Philippines, known for its proximity to the Tinuy-an Falls and its history as a former major paper-mill town.
  • D. Balangiga
    Balangiga is a coastal municipality in the province of Eastern Samar in the Philippines, historically known for the 1901 Balangiga encounter during the Philippine–American War.
  • E. Bayambang
    Bayambang is a municipality in the province of Pangasinan in the Philippines, known for its agricultural economy and historical significance dating back to the Spanish colonial period.
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064182f60819093a8313e1dbf2763 completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c519794a9481909a72a8dcdfaf41f8 completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:26 p.m.