Triple

T17441588
Position Surface form Disambiguated ID Type / Status
Subject Okehampton railway station E424666 entity
Predicate hasAccessibleAccess P127464 FINISHED
Object partial 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: partial | Statement: [Okehampton railway station, hasAccessibleAccess, partial]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAccessibleAccess
Context triple: [Okehampton railway station, hasAccessibleAccess, partial]
  • A. isAccessible
    Indicates that one entity can be reached, used, or entered by another entity without obstruction or restriction.
  • B. hasAccessibleConnection
    Indicates that there exists a way for one entity to reach or interact with another in a manner that meets defined accessibility requirements.
  • C. areAccessibleAt
    Indicates that certain entities can be reached, used, or entered at a specified location, time, or context.
  • D. hasAccessTo
    Indicates that one entity is permitted to enter, use, or interact with another entity, resource, or location.
  • E. hasHumanAccess
    Indicates that a human is able to access, use, or interact with the referenced entity or resource.
  • F. None of above. chosen

Provenance (4 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.
PDg Predicate description generation batch_69e3b2a33e8481908fa6ef45290d08aa completed April 18, 2026, 4:34 p.m.
Created at: April 10, 2026, 5:46 a.m.