Triple

T33211309
Position Surface form Disambiguated ID Type / Status
Subject Clanton, Mississippi E850168 entity
Predicate typicalPopulationScale P30459 FINISHED
Object small town 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: small town | Statement: [Clanton, Mississippi, typicalPopulationScale, small town]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalPopulationScale
Context triple: [Clanton, Mississippi, typicalPopulationScale, small town]
  • A. hasPopulationScale
    Indicates the relative size or magnitude of a population associated with an entity, typically expressed as a qualitative or categorical scale.
  • B. typicalPopulationThreshold
    Indicates the population level above which a place is typically considered to meet a particular classification or status.
  • C. populationScale chosen
    Indicates the relative size or magnitude of a population, typically categorizing it into broad scale levels (e.g., small, medium, large).
  • D. typicalPopulationDensity
    Indicates the usual or characteristic number of individuals per unit area associated with an entity or region.
  • E. typicalCatchmentPopulation
    Indicates the usual or expected number of people served by, or falling within the service area of, a given facility or resource.
  • 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_69f3495fb92c819083ce65d0ddee7a76 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379f338b881908e5593e45d764f4d completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:30 a.m.