Triple
T413259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khyber Pakhtunkhwa |
E9536
|
entity |
| Predicate | timeZone |
P109
|
FINISHED |
| Object | Pakistan Standard Time |
E34584
|
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: Pakistan Standard Time | Statement: [Khyber Pakhtunkhwa, timeZone, Pakistan Standard Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pakistan Standard Time Context triple: [Khyber Pakhtunkhwa, timeZone, Pakistan Standard Time]
-
A.
Pakistan Standard Time
chosen
Pakistan Standard Time is the time zone used throughout Pakistan, corresponding to UTC+5 hours.
-
B.
Indian Standard Time
Indian Standard Time is the time zone used throughout India, set at UTC+5:30.
-
C.
Gulf Standard Time
Gulf Standard Time is the time zone used by several Gulf countries, including the United Arab Emirates, which is four hours ahead of Coordinated Universal Time (UTC+4) and does not observe daylight saving time.
-
D.
Iran Standard Time
Iran Standard Time is the time zone used throughout Iran, set at UTC+3:30 and observed in cities such as Tehran.
-
E.
Malaysia Time
Malaysia Time is the standard time zone used throughout Malaysia, set eight hours ahead of Coordinated Universal Time (UTC+8).
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecdc422881908910428fd1aee7c6 |
completed | Feb. 28, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a41b4b71ec8190a6fda4dc4e4fc3ac |
completed | March 1, 2026, 10:56 a.m. |
Created at: Feb. 28, 2026, 1:09 p.m.