Triple
T15067149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohenjo-daro Airport |
E379783
|
entity |
| Predicate | isInTimeZone |
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: [Mohenjo-daro Airport, isInTimeZone, Pakistan Standard Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pakistan Standard Time Context triple: [Mohenjo-daro Airport, isInTimeZone, Pakistan Standard Time]
-
A.
Pakistan Standard Time
chosen
Pakistan Standard Time is the time zone used throughout Pakistan, corresponding to UTC+5 hours.
-
B.
Afghanistan Time
Afghanistan Time is the standard time zone used throughout Afghanistan, set at UTC+4:30.
-
C.
Bangladesh Standard Time
Bangladesh Standard Time is the time zone used in Bangladesh, corresponding to UTC+6 hours with no daylight saving time.
-
D.
Indian Standard Time
Indian Standard Time is the time zone used throughout India, set at UTC+5:30.
-
E.
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.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedeea750c819082d8823c9ab6c5a2 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5cb04e88190a42bb0e516df61bc |
completed | May 9, 2026, 3:11 a.m. |
Created at: April 10, 2026, 3:02 a.m.