Triple
T32573104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenzhou 13 |
E832567
|
entity |
| Predicate | spaceStationModuleDockedTo |
P52854
|
FINISHED |
| Object | Tianhe core module |
—
|
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: Tianhe core module | Statement: [Shenzhou 13, spaceStationModuleDockedTo, Tianhe core module]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spaceStationModuleDockedTo Context triple: [Shenzhou 13, spaceStationModuleDockedTo, Tianhe core module]
-
A.
spaceStationAssociation
Indicates an affiliation or operational relationship between an entity and a specific space station, such as ownership, management, use, or service connection.
-
B.
spaceStationModuleOf
Indicates that one entity is a module or component that forms part of a particular space station.
-
C.
spaceStationName
Indicates that an entity has the specified name of a space station.
-
D.
dockingWithISS
Indicates a relationship where a spacecraft is physically connecting and securing itself to the International Space Station to enable transfer of crew, cargo, or resources.
-
E.
spaceStationServed
chosen
Indicates that a particular space station is or was serviced, supplied, or supported by a specific mission, vehicle, or service entity.
- 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_69f34927bb308190ad94da1b11cad13c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: May 1, 2026, 1:04 a.m.