Triple

T8629029
Position Surface form Disambiguated ID Type / Status
Subject Sennaya Ploshchad metro station E204352 entity
Predicate hasUndergroundPassagesTo P24311 FINISHED
Object Sadovaya metro station 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: Sadovaya metro station concourse | Statement: [Sennaya Ploshchad metro station, hasUndergroundPassagesTo, Sadovaya metro station concourse]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUndergroundPassagesTo
Context triple: [Sennaya Ploshchad metro station, hasUndergroundPassagesTo, Sadovaya metro station concourse]
  • A. hasCaves
    Indicates that one entity possesses, contains, or is characterized by the presence of caves.
  • B. hasUndergroundDepth
    Indicates that one entity has a specified vertical extent or depth located below the ground surface relative to another reference or context.
  • C. hasUnderpass chosen
    Indicates that one location or structure includes or is connected by an underpass beneath another feature or pathway.
  • D. hasUndergroundSection
    Indicates that an entity includes a portion or segment that is located below ground level.
  • E. hasUndergroundFacilities
    Indicates that one entity possesses or contains facilities or infrastructure located below ground level in relation to another 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5730309081909a9a0256c9bf5f8f completed March 31, 2026, 11:22 p.m.
PD Predicate disambiguation batch_69cc455906f8819082edd79cb4a1cf28 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:27 p.m.