Triple

T12611534
Position Surface form Disambiguated ID Type / Status
Subject Hayes and Harlington Urban District E301134 entity
Predicate hadUrbanCharacter P85165 FINISHED
Object true 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: true | Statement: [Hayes and Harlington Urban District, hadUrbanCharacter, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadUrbanCharacter
Context triple: [Hayes and Harlington Urban District, hadUrbanCharacter, true]
  • A. 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.
  • B. hasPlannedUrbanCharacter chosen
    Indicates that an area exhibits an intentionally designed and organized urban form, layout, and land use pattern rather than informal or unplanned development.
  • C. hasSuburbanCharacter
    Indicates that something possesses qualities or features typically associated with suburban areas, such as lower density, residential focus, and car-oriented development.
  • D. hasUrbanInfluence
    Indicates that one entity exerts or reflects the characteristics, impact, or style of an urban area on another entity.
  • E. hasUrbanGrowthCharacteristic
    Indicates that an entity exhibits a particular quality, pattern, or feature related to urban growth or expansion.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9559458dc8190bc4d6e697e99d70e completed April 10, 2026, 7:55 p.m.
PD Predicate disambiguation batch_69d9541894fc8190a0c3706a414279f0 completed April 10, 2026, 7:48 p.m.
Created at: April 9, 2026, 5:11 p.m.