Triple
T4013284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mingachevir |
E90695
|
entity |
| Predicate | timeZone |
P109
|
FINISHED |
| Object | Azerbaijan Time |
E73027
|
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: Azerbaijan Time | Statement: [Mingachevir, timeZone, Azerbaijan Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azerbaijan Time Context triple: [Mingachevir, timeZone, Azerbaijan Time]
-
A.
Azerbaijan Time
chosen
Azerbaijan Time is the standard time zone used throughout Azerbaijan, typically four hours ahead of Coordinated Universal Time (UTC+4).
-
B.
Turkmenistan Time
Turkmenistan Time is the standard time zone used throughout Turkmenistan, corresponding to UTC+5 hours.
-
C.
Armenia Time (AMT)
Armenia Time (AMT) is the standard time zone used in Armenia, corresponding to UTC+4 hours.
-
D.
Afghanistan Time
Afghanistan Time is the standard time zone used throughout Afghanistan, set at UTC+4:30.
-
E.
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.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa893ce08190b8fe49a11123738d |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c73e6048190a59a8d8bc12c907d |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:35 p.m.