Triple

T14288043
Position Surface form Disambiguated ID Type / Status
Subject Piura Region E354229 entity
Predicate hasCity P316 FINISHED
Object Paita E482244 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: Paita | Statement: [Piura Region, hasCity, Paita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paita
Context triple: [Piura Region, hasCity, Paita]
  • A. Paita chosen
    Paita is a coastal port city in northwestern Peru, known historically as a Pacific trading hub and later as the place where independence figure Manuela Sáenz spent her final years in exile.
  • B. Tupungato
    Tupungato is a renowned high-altitude wine-producing area in Argentina’s Mendoza province, celebrated especially for its Malbec and other premium varietals.
  • C. Païta
    Païta is a suburban commune and growing residential area near Nouméa on the main island of New Caledonia in the South Province.
  • D. Tangub
    Tangub is a coastal city in Misamis Occidental, Philippines, known for its location along Iligan Bay and its festive Christmas decorations.
  • E. Pakurumo
    Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de698023288190b1d705235c2b2ca3 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1e14d4819091c381f96c43c58b completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.