Triple

T9860338
Position Surface form Disambiguated ID Type / Status
Subject Ulitsa Akademika Yangelya E239692 entity
Predicate hasIslandPlatformConfiguration P18595 FINISHED
Object single island platform 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: single island platform | Statement: [Ulitsa Akademika Yangelya, hasIslandPlatformConfiguration, single island platform]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIslandPlatformConfiguration
Context triple: [Ulitsa Akademika Yangelya, hasIslandPlatformConfiguration, single island platform]
  • A. hasIslandPlatforms chosen
    Indicates that the subject has one or more island-style platforms, typically positioned between tracks and accessible from both sides.
  • B. hasIslandCharacteristic
    Indicates that an entity possesses a feature, quality, or attribute specifically associated with islands.
  • C. hasIsland
    Indicates that one entity possesses, contains, or includes an island as part of its domain, territory, or structure.
  • D. hasBayPlatforms
    Indicates that a station or terminal is equipped with bay platforms, where tracks end in a dead-end configuration and trains enter and exit from the same direction.
  • E. hasNumberOfPlatforms
    Indicates the relationship that specifies how many platforms are associated with a given entity.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3b582cc81909a6d638fe2573c43 completed April 2, 2026, 12:09 a.m.
PD Predicate disambiguation batch_69cd1d7621d48190aa6a6f34399514b0 completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:35 p.m.