Triple

T19898773
Position Surface form Disambiguated ID Type / Status
Subject Cagayan Province E478223 entity
Predicate hasMunicipality P847 FINISHED
Object Aparri E430676 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: Aparri | Statement: [Cagayan Province, hasMunicipality, Aparri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aparri
Context triple: [Cagayan Province, hasMunicipality, Aparri]
  • A. Aparri chosen
    Aparri is a coastal municipality in the province of Cagayan in the Philippines, known historically as a major port and fishing town at the mouth of the Cagayan River.
  • B. Aparo
    Aparo is an Italian surname most notably associated with comic book artist Jim Aparo, known for his work on DC Comics titles such as Batman.
  • C. Nabawan
    Nabawan is a rural town and district in the interior of Sabah, Malaysia, known for its indigenous communities and agricultural activities.
  • D. Akapana
    Akapana is a monumental terraced pyramid and ceremonial complex at the ancient city of Tiwanaku, serving as one of the most important religious and political centers of the Middle Horizon Andes.
  • E. Apatin
    Apatin is a town and municipality in the Vojvodina region of northern Serbia, situated on the banks of the Danube River.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593fbb348190afa7acf45af406ed completed April 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea42b8c88190922819539e4b640b completed May 16, 2026, 3:53 a.m.
Created at: April 10, 2026, 1:52 p.m.