Triple
T31836854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soyuz TMA-02M |
E812695
|
entity |
| Predicate | reentryModuleLandingSite |
P54852
|
FINISHED |
| Object | Kazakhstan |
—
|
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: Kazakhstan | Statement: [Soyuz TMA-02M, reentryModuleLandingSite, Kazakhstan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reentryModuleLandingSite Context triple: [Soyuz TMA-02M, reentryModuleLandingSite, Kazakhstan]
-
A.
keyLandingSite
Indicates a location that serves as the primary or designated site where something (such as a vehicle, object, or mission) is intended to land or touch down.
-
B.
plannedLandingSiteType
Indicates the type or category of location designated as the intended landing site.
-
C.
firstStageLandingSite
Indicates the location where the first stage of a launch vehicle lands or is intended to land.
-
D.
alternateLandingSiteForMission
Indicates that a location serves as a backup or contingency landing site designated for a specific mission.
-
E.
reentryCapsuleLandingCountry
chosen
Indicates the country where a spacecraft’s reentry capsule lands or is intended to land.
- 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aff30e808190baf3dc1eee061c55 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:48 p.m.