Triple

T37566103
Position Surface form Disambiguated ID Type / Status
Subject Expedition 16 E933959 entity
Predicate returnVehicleUsed P12443 FINISHED
Object Soyuz TMA-11 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: Soyuz TMA-11 | Statement: [Expedition 16, returnVehicleUsed, Soyuz TMA-11]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: returnVehicleUsed
Context triple: [Expedition 16, returnVehicleUsed, Soyuz TMA-11]
  • A. returnedToUse
    Indicates that something previously inactive, unavailable, or discontinued has been put back into active use or operation.
  • B. vehicleUsed chosen
    Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
  • C. usedAsVehicleFor
    Indicates that one entity functions as a means of transportation or conveyance for another entity.
  • D. usedAsReleaseVehicleFor
    Indicates that one entity is employed as the means or mechanism to launch, distribute, or deliver another entity.
  • E. hasVehicularUse
    Indicates that something is used for, intended for, or associated with operation by vehicles or vehicular traffic.
  • 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_69f76ecb4acc8190b53f96d0b013e415 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fd2839880c819099a7a89783f2270e completed May 8, 2026, 12:03 a.m.
PD Predicate disambiguation batch_69fd23dc5da48190ae8ba08947d34956 completed May 7, 2026, 11:44 p.m.
Created at: May 3, 2026, 4:17 p.m.