Triple

T22867744
Position Surface form Disambiguated ID Type / Status
Subject Mamanguape microregion E567100 entity
Predicate centralTown P3940 FINISHED
Object Mamanguape 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: Mamanguape | Statement: [Mamanguape microregion, centralTown, Mamanguape]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mamanguape
Context triple: [Mamanguape microregion, centralTown, Mamanguape]
  • A. Mamanguape chosen
    Mamanguape is a municipality in the Brazilian state of Paraíba, known for its historical colonial architecture and location near the Mamanguape River on the state’s northern coast.
  • B. Mambusao
    Mambusao is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its agricultural economy and small-town community life.
  • C. Malibcong
    Malibcong is a remote, mountainous municipality in the Philippine province of Abra known for its indigenous communities and largely undeveloped natural landscapes.
  • D. Mambajao
    Mambajao is a coastal municipality in the Philippines known as the main commercial and administrative center of Camiguin Island.
  • E. Manigod
    Manigod is a small alpine commune in southeastern France known for its traditional Savoyard character and access to ski and hiking areas in the Aravis mountain range.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f02c8b8819095cbee626f935fed completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.