Triple
T21625067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangla village |
E533679
|
entity |
| Predicate | hasTimezone |
P3413
|
FINISHED |
| Object | Pakistan 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: Pakistan Standard Time | Statement: [Mangla village, hasTimezone, Pakistan Standard Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pakistan Standard Time Context triple: [Mangla village, hasTimezone, 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.
Tajikistan Time
Tajikistan Time is the standard time zone used throughout Tajikistan, corresponding to UTC+5 hours 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52121c3c8190b9b4d862ed247c71 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 16, 2026, 6:34 p.m.