Triple

T456513
Position Surface form Disambiguated ID Type / Status
Subject Gori railway station E7243 entity
Predicate publicTransportMode P1379 FINISHED
Object rail transport 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: rail transport | Statement: [Gori railway station, publicTransportMode, rail transport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publicTransportMode
Context triple: [Gori railway station, publicTransportMode, rail transport]
  • A. transportType chosen
    Indicates the mode or means of transportation used in carrying something or someone from one place to another.
  • B. publicTransit
    Indicates that one entity provides or is connected via shared, scheduled transportation services (such as buses, trains, or subways) that are available for use by the general public.
  • C. transportationFunction
    Indicates that one entity serves to move or carry another entity from one place to another.
  • D. transports
    Indicates that one entity carries or conveys another entity from one place to another.
  • E. hasPublicTransportConnection
    Indicates that there is an available public transportation link or service connecting the related entities.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efa1616481909399f92551a0c9e3 completed Feb. 28, 2026, 1:37 p.m.
PD Predicate disambiguation batch_69a2ede614b88190be07425f5535f56d completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.