Triple

T8771113
Position Surface form Disambiguated ID Type / Status
Subject 71-619 E208462 entity
Predicate hasMaintenanceLocation P34713 FINISHED
Object tram depots in Russian cities 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: tram depots in Russian cities | Statement: [71-619, hasMaintenanceLocation, tram depots in Russian cities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMaintenanceLocation
Context triple: [71-619, hasMaintenanceLocation, tram depots in Russian cities]
  • A. hasMaintenance
    Indicates that an entity is subject to, associated with, or requires a particular maintenance activity or maintenance record.
  • B. hasMaintenanceBase chosen
    Indicates that an entity is supported, serviced, or maintained at a specific base or maintenance facility.
  • C. hasLocationComponent
    Indicates that something includes, is associated with, or is composed of a specific location-related part or element.
  • D. hasLocationRole
    Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
  • E. hasMaintenanceFacilities
    Indicates that one entity provides or contains facilities where the other entity can be serviced, repaired, or maintained.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f2b08f881909f3d4fab2eda1d67 completed March 31, 2026, 11:56 p.m.
PD Predicate disambiguation batch_69cc5c1aff3881908be6a9cbc9f50461 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:41 p.m.