Triple
T1592795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiangong space station |
E34212
|
entity |
| Predicate | isPermanentlyCrewed |
P29647
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Tiangong space station, isPermanentlyCrewed, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPermanentlyCrewed Context triple: [Tiangong space station, isPermanentlyCrewed, true]
-
A.
hasCrewCapacity
Indicates that an entity is capable of accommodating a specified number of crew members.
-
B.
lastCrewReturnDate
Indicates the date on which the most recent crew associated with the entity returned.
-
C.
intendedCrewVehicle
Indicates that a particular vehicle is designated or planned to be used by a specific crew.
-
D.
crewCountApproximate
Indicates that the relationship specifies an estimated or approximate number of crew members associated with an entity.
-
E.
hasOnboardSystems
Indicates that an entity is equipped with or contains specific onboard systems or subsystems.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a916d413f08190a4e137e5ed262e25 |
completed | March 5, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69a907bfb39c8190a31e0be14d3d52e6 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a916d2fae48190aaac6b2a5e31a7cf |
completed | March 5, 2026, 5:38 a.m. |
Created at: March 4, 2026, 7:27 p.m.