Triple

T20069534
Position Surface form Disambiguated ID Type / Status
Subject Province of Quezon E499696 entity
Predicate hasMunicipality P847 FINISHED
Object Atimonan 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: Atimonan | Statement: [Province of Quezon, hasMunicipality, Atimonan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atimonan
Context triple: [Province of Quezon, hasMunicipality, Atimonan]
  • A. Atimonan chosen
    Atimonan is a coastal municipality in the province of Quezon in the Philippines, known for its fishing industry, scenic seaside views, and proximity to the Quezon Protected Landscape.
  • B. Gimillan
    Gimillan is a small alpine village in Italy’s Aosta Valley, known for its scenic mountain setting above the town of Cogne.
  • C. Mangarei
    Mangarei is a small settlement on the island of Mitiaro in the Cook Islands, known for its rural character and proximity to the island’s limestone caves and wetlands.
  • D. Apatin
    Apatin is a town and municipality in the Vojvodina region of northern Serbia, situated on the banks of the Danube River.
  • E. Tamasopo
    Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e664365ad0819089103b00d1cf8c9f completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:39 p.m.