Triple
T32386682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China's crewed spaceflight program |
E827560
|
entity |
| Predicate | firstAstronautLaunched |
P197384
|
FINISHED |
| Object | Yang Liwei |
E1782809
|
NE 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: Yang Liwei | Statement: [China's crewed spaceflight program, firstAstronautLaunched, Yang Liwei]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAstronautLaunched Context triple: [China's crewed spaceflight program, firstAstronautLaunched, Yang Liwei]
-
A.
firstCrewedAstronaut
Indicates that the subject is the first astronaut to crew or operate the object (such as a spacecraft, mission, or station).
-
B.
firstAmericanInSpace
Indicates that the subject is the first American individual to have traveled into outer space.
-
C.
firstAstronautUser
chosen
Indicates that the user is the first astronaut associated with or designated in a given context or system.
-
D.
firstSpaceflightOf
Indicates that the object is the first spaceflight mission associated with the subject (such as a person, vehicle, or program).
-
E.
firstSpaceflight
Indicates that the subject entity performed, experienced, or was responsible for its earliest occurrence of traveling into outer space.
- F. None of above.
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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a33e8beb13c81908b79503df5e55880 |
completed | June 18, 2026, 12:46 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:51 a.m.