Triple
T6136471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Highlands of Afghanistan |
E136844
|
entity |
| Predicate | timeZone |
P109
|
FINISHED |
| Object | Afghanistan Time |
E228807
|
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: Afghanistan Time | Statement: [Central Highlands of Afghanistan, timeZone, Afghanistan Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afghanistan Time Context triple: [Central Highlands of Afghanistan, timeZone, Afghanistan Time]
-
A.
Afghanistan Time
chosen
Afghanistan Time is the standard time zone used throughout Afghanistan, set at UTC+4:30.
-
B.
Uzbekistan Time
Uzbekistan Time is the standard time zone used across Uzbekistan, set at UTC+5 hours with no daylight saving time.
-
C.
Pakistan Standard Time
Pakistan Standard Time is the time zone used throughout Pakistan, corresponding to UTC+5 hours.
-
D.
Turkmenistan Time
Turkmenistan Time is the standard time zone used throughout Turkmenistan, corresponding to UTC+5 hours.
-
E.
Azerbaijan Time
Azerbaijan Time is the standard time zone used throughout Azerbaijan, typically four hours ahead of Coordinated Universal Time (UTC+4).
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c8211d48190bc10675ba6707150 |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135e22b9481908e6023d1b0a5d0fd |
completed | March 23, 2026, 12:45 p.m. |
Created at: March 22, 2026, 4:15 p.m.