Triple

T22740942
Position Surface form Disambiguated ID Type / Status
Subject Montes Municipality E562409 entity
Predicate governmentSeatType P17125 FINISHED
Object municipal seat 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: municipal seat | Statement: [Montes Municipality, governmentSeatType, municipal seat]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentSeatType
Context triple: [Montes Municipality, governmentSeatType, municipal seat]
  • A. seatOfGovernment
    Indicates that a location serves as the administrative center where a government exercises its official authority and conducts its primary governing functions.
  • B. hasGovernmentSeatType chosen
    Indicates the specific type or classification of the location where a government’s central authority or administrative seat is situated.
  • C. seatOfGovernmentBranch
    Indicates the branch or division of government for which a particular location serves as the seat of authority or administration.
  • D. hostsSeatOfGovernment
    Indicates that a place serves as the location where a government’s central administrative or executive authority is based.
  • E. placeOfOffice
    Indicates the location where an office or official position is held or based.
  • 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17972fde8819086094cea289a2af8 completed April 29, 2026, 3:22 a.m.
PD Predicate disambiguation batch_69eed2a971c0819088af574e40c9343f completed April 27, 2026, 3:06 a.m.
Created at: April 17, 2026, 3:23 p.m.