Triple
T6327504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BeiDou |
E141895
|
entity |
| Predicate | phase |
P5784
|
FINISHED |
| Object | BeiDou-1 |
E141895
|
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: BeiDou-1 | Statement: [BeiDou, phase, BeiDou-1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BeiDou-1 Context triple: [BeiDou, phase, BeiDou-1]
-
A.
BeiDou
chosen
BeiDou is China's satellite-based global navigation system that serves as an alternative to and competitor of GPS.
-
B.
GLONASS
GLONASS is Russia’s global satellite navigation system, providing worldwide positioning and timing services as an alternative to GPS.
-
C.
Wentian
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.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e9532081908277f10ec380a486 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c60410223081908c1cf3663d4b14c0 |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:29 p.m.