Triple

T7317112
Position Surface form Disambiguated ID Type / Status
Subject Surigaonon language E168440 entity
Predicate hasAlternativeName P39 FINISHED
Object Surigaonon E243832 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: Surigaonon | Statement: [Surigaonon language, hasAlternativeName, Surigaonon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surigaonon
Context triple: [Surigaonon language, hasAlternativeName, Surigaonon]
  • A. Surigaonon chosen
    Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
  • B. Canlaon
    Canlaon is a city in the Philippines known for its proximity to Mount Kanlaon, an active volcano and prominent natural landmark on Negros Island.
  • C. Balamban
    Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
  • D. Saguling
    Saguling is a locality in West Java, Indonesia, best known for the Saguling Dam and its surrounding reservoir on the Citarum River.
  • E. Sagayan
    Sagayan is a traditional war and healing dance of the Maguindanaon people of the southern Philippines, characterized by colorful costumes, shields, and swords that depict the movements of warriors and spirits.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef178b3081908cd0c62466069741 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802ac12a8819098d855e250e00274 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 3:02 p.m.