Triple

T12118804
Position Surface form Disambiguated ID Type / Status
Subject Norala E288634 entity
Predicate provinceCapital P16248 FINISHED
Object Koronadal E342022 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: Koronadal | Statement: [Norala, provinceCapital, Koronadal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koronadal
Context triple: [Norala, provinceCapital, Koronadal]
  • A. Koronadal chosen
    Koronadal is a city in the Philippines that serves as the capital of South Cotabato and the regional administrative center of Soccsksargen.
  • B. Dapitan City
    Dapitan City is a historic coastal city in the Philippines best known as the place of exile of national hero José Rizal and as a heritage and pilgrimage destination in the Zamboanga Peninsula.
  • C. Calapan
    Calapan is the capital city of Oriental Mindoro in the Philippines, serving as a key commercial and transportation hub in the Mimaropa region.
  • D. Malapatan
    Malapatan is a coastal municipality in the province of Sarangani in the Philippines, known for its diverse indigenous communities and agricultural economy.
  • E. Sorsogon City
    Sorsogon City is a coastal component city in the Philippines known as the capital of Sorsogon province and a gateway to the Bicol Region’s southernmost attractions.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915760d208190b68f5e024b3676ba completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef5a0824819097e41163e3092b68 completed May 9, 2026, 8:24 a.m.
Created at: April 8, 2026, 9:49 p.m.