Triple
T27674347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenzhou crewed spacecraft |
E697739
|
entity |
| Predicate | firstCrewedAstronaut |
P199594
|
FINISHED |
| Object | Yang Liwei |
—
|
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: Yang Liwei | Statement: [Shenzhou crewed spacecraft, firstCrewedAstronaut, Yang Liwei]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCrewedAstronaut Context triple: [Shenzhou crewed spacecraft, firstCrewedAstronaut, Yang Liwei]
-
A.
firstDockingAstronaut
Indicates that the subject is the astronaut who first docked with the specified target (such as a spacecraft, station, or module).
-
B.
firstHumanSpaceflightOf
Indicates that the subject is the first human spaceflight mission associated with the given object (such as a spacecraft, program, or country).
-
C.
firstAmericanInSpace
Indicates that the subject is the first American individual to have traveled into outer space.
-
D.
firstCrewedMission
Indicates that the mission is the first instance in which humans were onboard or directly participated as crew.
-
E.
firstSpaceflightOf
Indicates that the object is the first spaceflight mission associated with the subject (such as a person, vehicle, or program).
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ff48199b1c8190bb05872f8a4f4673 |
completed | May 9, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69ff4746b1cc8190854f70a124df7d04 |
completed | May 9, 2026, 2:40 p.m. |
| PDg | Predicate description generation | batch_69ff4818bb288190b4a27576fad18e23 |
completed | May 9, 2026, 2:43 p.m. |
Created at: April 27, 2026, 2:43 p.m.