Triple
T18398329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laizhou City |
E449924
|
entity |
| Predicate | isLocatedInTimeZone |
P109
|
FINISHED |
| Object | China Standard Time |
—
|
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: China Standard Time | Statement: [Laizhou City, isLocatedInTimeZone, China Standard Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: China Standard Time Context triple: [Laizhou City, isLocatedInTimeZone, 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.
Singapore Standard Time
Singapore Standard Time is the time zone used throughout Singapore, corresponding to UTC+8 with no daylight saving time.
-
D.
Indochina Time
Indochina Time is the standard time zone (UTC+7) used in several Southeast Asian countries, including Thailand, Vietnam, Cambodia, and Laos.
-
E.
Myanmar Standard Time
Myanmar Standard Time is the time zone used throughout Myanmar, set at UTC+6:30 with no daylight saving time.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5184879548190b7f428e2d4c2caa4 |
completed | April 19, 2026, 6 p.m. |
Created at: April 10, 2026, 10:46 a.m.