Triple

T31345454
Position Surface form Disambiguated ID Type / Status
Subject Kosciusko, MS Micropolitan Statistical Area E799434 entity
Predicate geographicClassificationSystem P26631 FINISHED
Object Core Based Statistical Area 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: Core Based Statistical Area | Statement: [Kosciusko, MS Micropolitan Statistical Area, geographicClassificationSystem, Core Based Statistical Area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: geographicClassificationSystem
Context triple: [Kosciusko, MS Micropolitan Statistical Area, geographicClassificationSystem, Core Based Statistical Area]
  • A. geographicDivision
    Indicates that one place is an administrative or territorial subdivision of another place.
  • B. regionClassification chosen
    Indicates how a given area or location is categorized into a specific region based on defined criteria or boundaries.
  • C. biogeographicClassificationSystem
    Indicates the system or scheme used to classify and organize entities according to their biogeographic regions or distributions.
  • D. geographicalRegionType
    Indicates the specific kind or category of geographical region that an entity belongs to (e.g., continent, country, province, or city).
  • E. geographicalStructure
    Indicates a relationship where one entity is a physical geographic feature or formation that characterizes or shapes the spatial nature of another entity or area.
  • 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_69f224e51614819083141459a080e97c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f757898fe48190b124dc7301672623 completed May 3, 2026, 2:11 p.m.
PD Predicate disambiguation batch_69f754c484348190948d2a04ff228fb1 completed May 3, 2026, 1:59 p.m.
Created at: April 29, 2026, 9:17 p.m.