Triple

T9860255
Position Surface form Disambiguated ID Type / Status
Subject Nagornaya E239690 entity
Predicate hasIslandPlatformAccess P90936 FINISHED
Object central concourse 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: central concourse | Statement: [Nagornaya, hasIslandPlatformAccess, central concourse]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIslandPlatformAccess
Context triple: [Nagornaya, hasIslandPlatformAccess, central concourse]
  • A. hasIslandPlatforms
    Indicates that the subject has one or more island-style platforms, typically positioned between tracks and accessible from both sides.
  • B. hasIsland
    Indicates that one entity possesses, contains, or includes an island as part of its domain, territory, or structure.
  • C. hasLevelAccessToPlatforms
    Indicates that an entity is permitted to access certain platforms at a specified level or tier of authorization.
  • D. hasIslandLanding
    Indicates that an entity includes or provides a designated landing area or facility located on an island.
  • E. hasParkAccess
    Indicates that an entity is permitted to enter, use, or otherwise access a specified park or park area.
  • 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_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.
PDg Predicate description generation batch_69cd3581a9688190a00cef4c3eebb0ae completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 8:35 p.m.