Triple

T37778301
Position Surface form Disambiguated ID Type / Status
Subject Município de Santa Maria de Jetibá E941749 entity
Predicate governoLocal P135811 FINISHED
Object prefeitura municipal LITERAL 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: prefeitura municipal | Statement: [Município de Santa Maria de Jetibá, governoLocal, prefeitura municipal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governoLocal
Context triple: [Município de Santa Maria de Jetibá, governoLocal, prefeitura municipal]
  • A. cityGovernment
    Indicates that a city’s governing authority has jurisdiction, control, or administrative responsibility over the referenced entity.
  • B. seatOfLocalGovernment
    Indicates that one entity serves as the administrative center or headquarters where the local government of another entity is based and operates.
  • C. mainGovernment
    Indicates that one entity serves as the primary governing authority or central government for another entity.
  • D. cityAuthority
    Indicates that an entity holds official governing or administrative authority over a city.
  • E. subnationalGovernment chosen
    Indicates a governmental body that operates below the national level and has authority over a specific subnational region or jurisdiction.
  • F. None of above.

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_69f76ee4431881908f87e8892a9f39f3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1772e48190ba738c6d11b321e2 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:19 p.m.