Triple

T2933885
Position Surface form Disambiguated ID Type / Status
Subject St. Louis–Belleville metropolitan area (Illinois portion) E79217 entity
Predicate primarySubdivisionType P9832 FINISHED
Object county 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: county | Statement: [St. Louis–Belleville metropolitan area (Illinois portion), primarySubdivisionType, county]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primarySubdivisionType
Context triple: [St. Louis–Belleville metropolitan area (Illinois portion), primarySubdivisionType, county]
  • A. primaryType
    Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
  • B. primaryArea
    Indicates that one entity is the main or most important area, domain, or field associated with another entity.
  • C. hasTypeOfSubdivision
    Indicates that one administrative or territorial unit is classified as a specific kind or category of subdivision.
  • D. countrySubdivisionType chosen
    Indicates the specific type or category of an administrative or territorial subdivision within a country (e.g., state, province, region).
  • E. formerSubdivisionOf
    Indicates that an entity once functioned as an administrative or territorial part of another entity but no longer holds that status.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad983b65f881909b8b7d3dc5c224fd completed March 8, 2026, 3:39 p.m.
PD Predicate disambiguation batch_69ad9606e8348190bb19df33a2709674 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:56 p.m.