Triple
T18079933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhang Wentian |
E432660
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Wentian |
—
|
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: Wentian | Statement: [Zhang Wentian, givenName, Wentian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wentian Context triple: [Zhang Wentian, givenName, Wentian]
-
A.
Wentian
chosen
Wentian is a Chinese space laboratory module that serves as a key component of the Tiangong space station, providing additional research facilities, living space, and support systems for taikonauts in orbit.
-
B.
Mengtian
Mengtian is a Chinese space laboratory module that forms part of the Tiangong space station, supporting scientific experiments and research in orbit.
-
C.
Tianhe
Tianhe is the core module of China’s Tiangong space station, serving as its main control, living, and docking hub in low Earth orbit.
-
D.
Tianhe
Tianhe is a town in Wuhan, Hubei Province, China, best known for hosting Wuhan Tianhe International Airport, a major air transport hub in central China.
-
E.
Tiangong-2 space laboratory
Tiangong-2 space laboratory was China’s second prototype space station module, used to test key technologies for future modular space stations and support crewed and cargo missions in low Earth orbit.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9f81ff08190b7465e3c5568aa59 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.