Triple

T35933177
Position Surface form Disambiguated ID Type / Status
Subject Buchs SG railway station E1039221 entity
Predicate platformsType P172406 FINISHED
Object island platforms 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: island platforms | Statement: [Buchs SG railway station, platformsType, island platforms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: platformsType
Context triple: [Buchs SG railway station, platformsType, island platforms]
  • A. platforms
    Indicates that one entity provides or serves as a base, medium, or environment that supports the operation, distribution, or presentation of another entity.
  • B. типПлатформы chosen
    Indicates the specific type or category of platform associated with an entity.
  • C. platformsDevelopedFor
    Indicates the platforms (e.g., operating systems, devices, or environments) for which something has been specifically created or adapted.
  • D. typicalPlatform
    Indicates that something commonly or usually serves as the platform or environment on which another thing operates, appears, or is based.
  • E. platformTypeWorkedOn
    Indicates the type of platform on which an entity (typically a person or system) has performed work or carried out activities.
  • 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_69f76e23e4688190a5369138755138bf completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ac23d1388190bdf9628b294943bd completed May 3, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69f7ab734d848190a84f9b8c3a952b75 completed May 3, 2026, 8:09 p.m.
Created at: May 3, 2026, 4:07 p.m.