Triple

T19898794
Position Surface form Disambiguated ID Type / Status
Subject Cagayan Province E478223 entity
Predicate hasMunicipality P847 FINISHED
Object Abulug 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: Abulug | Statement: [Cagayan Province, hasMunicipality, Abulug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abulug
Context triple: [Cagayan Province, hasMunicipality, Abulug]
  • A. Abulug chosen
    Abulug is a municipality in the province of Cagayan in the Cagayan Valley region of the Philippines, known for its agricultural economy and location along the Abulug River.
  • B. Abule
    "Abule" is a popular Afrobeat song by Nigerian artist Patoranking that celebrates community life and nostalgic memories of his hometown.
  • C. Abure
    Abure is a Central Tano language spoken primarily in Côte d’Ivoire by the Abure people.
  • D. Abudwak
    Abudwak is a town in central Somalia that serves as an important local hub within the Galguduud region.
  • E. Ubakala
    Ubakala is a town in Abia State, southeastern Nigeria, serving as the administrative center of the Umuahia South Local Government Area.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593fbb348190afa7acf45af406ed completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.