Triple

T28016707
Position Surface form Disambiguated ID Type / Status
Subject government of Oregon (as a municipal government unit) E707561 entity
Predicate hasNumberOfIncorporatedCities P101584 FINISHED
Object 200+ 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: 200+ | Statement: [government of Oregon (as a municipal government unit), hasNumberOfIncorporatedCities, 200+]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfIncorporatedCities
Context triple: [government of Oregon (as a municipal government unit), hasNumberOfIncorporatedCities, 200+]
  • A. hasNumberOfComponentCities chosen
    Indicates the relationship that specifies how many component cities are contained within or associated with a given entity.
  • B. hasNoIncorporatedCities
    Indicates that a geographic or administrative area contains no incorporated cities within its boundaries.
  • C. hasNumberOfMunicipalities
    Indicates the relationship that specifies how many municipalities are associated with or contained within a given administrative or geographic entity.
  • D. hasMultipleAdministrativeCenters
    Indicates that an entity is administered from more than one official administrative center or capital.
  • E. hasCapitalCityWithin
    Indicates that a specified capital city is geographically located within the boundaries of a given region or country.
  • 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_69ef96baf3a881909a2b63844185dddd completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f9fd6834cc8190aa27153d6a99f3bb completed May 5, 2026, 2:23 p.m.
PD Predicate disambiguation batch_69f7cf769338819092a5f42653dcc956 completed May 3, 2026, 10:43 p.m.
Created at: April 27, 2026, 8:07 p.m.