Triple

T11684274
Position Surface form Disambiguated ID Type / Status
Subject Agusan del Norte E277697 entity
Predicate hasComponentCity P37693 FINISHED
Object Cabadbaran E241371 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: Cabadbaran | Statement: [Agusan del Norte, hasComponentCity, Cabadbaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabadbaran
Context triple: [Agusan del Norte, hasComponentCity, Cabadbaran]
  • A. Cabadbaran chosen
    Cabadbaran is a component city in the Caraga region of the Philippines, serving as the capital of the province of Agusan del Norte.
  • B. Ahlat
    Ahlat is a historic town in eastern Turkey renowned for its medieval Seljuk-era cemeteries and monuments on the northwestern shore of Lake Van.
  • C. Balakan
    Balakan is a town and district center in northwestern Azerbaijan, near the border with Georgia and Russia, known for its mountainous landscapes and agricultural production.
  • D. Tatvan
    Tatvan is a town in eastern Turkey’s Bitlis Province, situated on the western shore of Lake Van and serving as a regional transport and commercial hub.
  • E. Khadjibey
    Khadjibey was the historical name of the Black Sea port settlement that later developed into the modern Ukrainian city of Odesa.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83098e2c819081c22462372f64b4 completed April 27, 2026, 3:38 p.m.
Created at: April 8, 2026, 9:40 p.m.