Triple

T17441578
Position Surface form Disambiguated ID Type / Status
Subject Okehampton railway station E424666 entity
Predicate hasHeritageServices P64608 FINISHED
Object yes 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: yes | Statement: [Okehampton railway station, hasHeritageServices, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHeritageServices
Context triple: [Okehampton railway station, hasHeritageServices, yes]
  • A. hasHeritage
    Indicates that an entity possesses or is associated with a particular cultural, ethnic, or ancestral background.
  • B. hasHeritageOrganization
    Indicates that an entity is associated with, or belongs to, a particular heritage-related organization.
  • C. hasHeritageFeature
    Indicates that an entity possesses or includes a feature recognized as part of cultural, historical, or natural heritage.
  • D. heritageService chosen
    Indicates that an entity provides, manages, or is associated with services related to the preservation, interpretation, or promotion of cultural or natural heritage.
  • E. hasHeritageContext
    Indicates that something is associated with, influenced by, or situated within a particular cultural, historical, or heritage-related context.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff75538819083f77756d39a1aaa completed April 19, 2026, 3:45 a.m.
PD Predicate disambiguation batch_69e3b030eac481909b8402719cc3102e completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:46 a.m.