Triple
T427888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuhan Railway Station |
E9647
|
entity |
| Predicate | timezone |
P109
|
FINISHED |
| Object | China Standard Time |
E5773
|
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: China Standard Time | Statement: [Wuhan Railway Station, timezone, China Standard Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: China Standard Time Context triple: [Wuhan Railway Station, timezone, China Standard Time]
-
A.
China Standard Time
chosen
China Standard Time is the single official time zone used throughout mainland China, corresponding to UTC+8.
-
B.
Korea Standard Time
Korea Standard Time is the time zone used on the Korean Peninsula, set at UTC+9 hours.
-
C.
Japan Standard Time
Japan Standard Time is the standard time zone used throughout Japan, set at nine hours ahead of Coordinated Universal Time (UTC+9) without daylight saving time.
-
D.
Indian Standard Time
Indian Standard Time is the time zone used throughout India, set at UTC+5:30.
-
E.
Cuba Standard Time
Cuba Standard Time is the standard time zone used throughout the island nation of Cuba, typically corresponding to UTC−05:00.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eed7f3508190995dcd39586ed614 |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a42f665c2881908850bce36cdf74b8 |
completed | March 1, 2026, 12:21 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.