Triple

T19269779
Position Surface form Disambiguated ID Type / Status
Subject Province of Capiz E481890 entity
Predicate hasMunicipality P847 FINISHED
Object Dao NE NERFINISHED

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: Dao | Statement: [Province of Capiz, hasMunicipality, Dao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dao
Context triple: [Province of Capiz, hasMunicipality, Dao]
  • A. Dao chosen
    Dao is a municipality in the province of Capiz in the Philippines, known for its predominantly rural communities and agricultural economy.
  • B. Dao
    Dao is the fundamental principle in Chinese philosophy and religion that denotes the natural, ineffable way or path underlying and guiding the universe and human life.
  • C. Dao
    Dao are an ethnic minority group in Vietnam, known for their distinct traditional costumes, rich spiritual practices, and communities concentrated in northern mountainous provinces such as Quang Ninh.
  • D. DAO
    DAO is the ICAO airline designator assigned to Daallo Airlines, a regional carrier based in the Horn of Africa.
  • E. DAO
    DAO (Data Access Objects) is an older Microsoft data access technology that provides an object-oriented interface for working with databases, particularly Jet/Access databases.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbb74ec48190a58d96b4b5b9af00 completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.