Triple

T443017
Position Surface form Disambiguated ID Type / Status
Subject Orange County, North Carolina E10153 entity
Predicate hasNotableTownCharacteristic P642 FINISHED
Object university town (Chapel Hill) 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: university town (Chapel Hill) | Statement: [Orange County, North Carolina, hasNotableTownCharacteristic, university town (Chapel Hill)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableTownCharacteristic
Context triple: [Orange County, North Carolina, hasNotableTownCharacteristic, university town (Chapel Hill)]
  • A. hasNotableFeature chosen
    Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
  • B. hasTown
    Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
  • C. hasNotableFacility
    Indicates that an entity possesses or hosts a facility that is of particular significance, prominence, or interest.
  • D. hasUrbanFeature
    Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
  • E. hasGeographyCharacteristic
    Indicates that an entity possesses a specific geographical feature, property, or attribute.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef43e8f88190a5d368add11a38c0 completed Feb. 28, 2026, 1:36 p.m.
PD Predicate disambiguation batch_69a2edde2b9c8190bd20b582eb4c5065 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.