Triple

T31679077
Position Surface form Disambiguated ID Type / Status
Subject Saltford railway station (historical) E808482 entity
Predicate hadPlatforms P172415 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: [Saltford railway station (historical), hadPlatforms, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadPlatforms
Context triple: [Saltford railway station (historical), hadPlatforms, yes]
  • A. platformsDevelopedFor
    Indicates the platforms (e.g., operating systems, devices, or environments) for which something has been specifically created or adapted.
  • B. platforms
    Indicates that one entity provides or serves as a base, medium, or environment that supports the operation, distribution, or presentation of another entity.
  • C. hasAtGradePlatforms
    Indicates that the subject has platforms located at the same level as the surrounding ground or track (i.e., not elevated or underground).
  • D. appearsInPlatform
    Indicates that an entity is present, available, or featured within a particular platform or system.
  • E. hardwarePlatformFor
    Indicates that one entity serves as the hardware platform on which another entity is designed to run or be deployed.
  • 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_69f348dcf5d48190ac25b1365ae717a8 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6abe15d5c81909ccf4ce37f78bc43 completed May 3, 2026, 1:58 a.m.
PD Predicate disambiguation batch_69f6aa20a1588190a53533fc9764efb2 completed May 3, 2026, 1:51 a.m.
PDg Predicate description generation batch_69f6aaf31a548190b2f792ff4b8c002a completed May 3, 2026, 1:54 a.m.
Created at: April 30, 2026, 11:04 p.m.