Triple

T19096387
Position Surface form Disambiguated ID Type / Status
Subject Yak-130 E467416 entity
Predicate externalPayloadCapacity P134353 FINISHED
Object 3000 kg 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: 3000 kg | Statement: [Yak-130, externalPayloadCapacity, 3000 kg]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: externalPayloadCapacity
Context triple: [Yak-130, externalPayloadCapacity, 3000 kg]
  • A. gtoPayloadCapacity
    Indicates the maximum payload mass an object (typically a launch vehicle) can deliver to a geostationary transfer orbit.
  • B. cargoCapacityFeature
    Indicates that an entity has a feature specifying how much cargo it can carry or accommodate.
  • C. leoPayloadCapacity
    Indicates the maximum payload mass or capacity that can be delivered to Low Earth Orbit (LEO) in the context of a launch vehicle or space mission.
  • D. designedCargoCapacity
    Indicates the maximum amount of cargo an object (such as a vehicle or container) was originally engineered or specified to carry.
  • E. slingLoadCapacity
    Indicates the maximum weight or load that can be safely carried or supported using a sling.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e369aeac81908913c21f4c234c8e completed April 20, 2026, 8:27 a.m.
PD Predicate disambiguation batch_69e4b9a604308190a3235184f9f2c056 completed April 19, 2026, 11:16 a.m.
PDg Predicate description generation batch_69e4bfe8a06081909fd5c28a33e9f218 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 12:04 p.m.