Triple

T10944276
Position Surface form Disambiguated ID Type / Status
Subject Davao del Sur E258553 entity
Predicate hasCity P316 FINISHED
Object Digos E456775 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: Digos | Statement: [Davao del Sur, hasCity, Digos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Digos
Context triple: [Davao del Sur, hasCity, Digos]
  • A. Digos
    Digos is a specialized investigative division of the Italian State Police focused on counterterrorism, political extremism, and other serious threats to public order and national security.
  • B. Digos chosen
    Digos is a component city in the province of Davao del Sur in the Philippines, serving as a commercial and administrative center in the Davao Region.
  • C. Koronadal
    Koronadal is a city in the Philippines that serves as the capital of South Cotabato and the regional administrative center of Soccsksargen.
  • D. Guanajay
    Guanajay is a town and municipality in western Cuba known historically as an agricultural and commercial center near Havana.
  • E. Carmona
    Carmona is a municipality in the province of Cavite in the Philippines, known for its mix of residential communities and industrial estates.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c4d59481908a5900fc8cf9ecc3 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e374226b6081909c8db367e7d468a5 completed April 18, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:23 p.m.