Triple

T9870643
Position Surface form Disambiguated ID Type / Status
Subject Alma-Atinskaya E239946 entity
Predicate hasPassengerTransfers P90975 FINISHED
Object no direct interline transfer 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: no direct interline transfer | Statement: [Alma-Atinskaya, hasPassengerTransfers, no direct interline transfer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPassengerTransfers
Context triple: [Alma-Atinskaya, hasPassengerTransfers, no direct interline transfer]
  • A. hasPassengerTerminal
    Indicates that one entity possesses or is equipped with a passenger terminal used for boarding, alighting, or handling passengers.
  • B. hasPassengerTerminalFunction
    Indicates that something serves the role or performs the function of a passenger terminal, supporting the handling and movement of passengers.
  • C. hasPassengerHandling
    Indicates that an entity is responsible for or involved in managing the processes and services related to handling passengers.
  • D. hasPassengerTrafficFrom
    Indicates that an entity receives or handles passenger traffic originating from another entity.
  • E. hasPassengerOperator
    Indicates that an entity (such as a vehicle or service) is operated by an organization or person responsible for carrying passengers.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d62628819094786a49b9bcd09b 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, 8:36 p.m.