Triple

T16285931
Position Surface form Disambiguated ID Type / Status
Subject Core Based Statistical Area E395387 entity
Predicate micropolitanThresholdRange P37733 FINISHED
Object 10000 to 49999 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: 10000 to 49999 | Statement: [Core Based Statistical Area, micropolitanThresholdRange, 10000 to 49999]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: micropolitanThresholdRange
Context triple: [Core Based Statistical Area, micropolitanThresholdRange, 10000 to 49999]
  • A. isInMetropolitanAreaRank
    Indicates that one metropolitan area holds a specific rank or position relative to others based on a defined metropolitan-area-related criterion (such as size, population, or importance).
  • B. hasMicropolitanStatus
    Indicates that an entity possesses the official designation or classification of having micropolitan status.
  • C. hasMicropolitanArea
    Indicates that an entity possesses or is associated with a designated micropolitan area, typically a smaller-scale urban region centered around a core city or town.
  • D. metropolitanRank
    Indicates the relative standing or position of a metropolitan area within a ranked ordering of metropolitan regions.
  • E. populationThreshold chosen
    Indicates that a population has reached, exceeded, or fallen below a specified numerical limit used as a critical or decision-making boundary.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24914bda08190a5d6315414ee3f76 completed April 17, 2026, 2:52 p.m.
PD Predicate disambiguation batch_69e219f68d308190b71c1601303f0628 completed April 17, 2026, 11:31 a.m.
Created at: April 10, 2026, 5:05 a.m.