Triple

T24536063
Position Surface form Disambiguated ID Type / Status
Subject Soviet automotive industry E606952 entity
Predicate mainBusProducer P156646 FINISHED
Object LiAZ NE NERFINISHED

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: LiAZ | Statement: [Soviet automotive industry, mainBusProducer, LiAZ]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainBusProducer
Context triple: [Soviet automotive industry, mainBusProducer, LiAZ]
  • A. primaryBus
    Indicates that one entity functions as the main or principal bus associated with another entity within a system or configuration.
  • B. supervisingProducer
    Indicates that one entity serves as the supervising producer responsible for overseeing and managing the production work of another entity.
  • C. usesBus
    Indicates that an entity regularly travels or transports itself by means of a bus.
  • D. mainInstrumentalProducer
    Indicates that one entity serves as the primary producer responsible for the instrumental (non-vocal) component of another entity, such as a song or recording.
  • E. hasProducer
    Indicates that one entity serves as the producer or creator responsible for making or manufacturing another entity.
  • 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_69e2c4c90c848190b23c4303620dcaaf completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6b0ca8081908d931aec560eae56 completed April 30, 2026, 12:47 a.m.
PDg Predicate description generation batch_69f2b8b8bc5881908df49c0b07110246 completed April 30, 2026, 2:04 a.m.
Created at: April 18, 2026, 2:26 a.m.