Triple
T14486290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AZT |
E359235
|
entity |
| Predicate | IANAZoneExample |
P719
|
FINISHED |
| Object | Asia/Baku |
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: Asia/Baku | Statement: [AZT, IANAZoneExample, Asia/Baku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asia/Baku Context triple: [AZT, IANAZoneExample, Asia/Baku]
-
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.
Asia/Ashgabat
Asia/Ashgabat is the time zone corresponding to Ashgabat, the capital city of Turkmenistan in Central Asia.
-
C.
Europe/Minsk
Europe/Minsk is the time zone corresponding to Belarus, centered on the capital city Minsk and observing UTC+3 year-round.
-
D.
Asia/Aqtobe
Asia/Aqtobe is a time zone used in western Kazakhstan, centered around the city of Aktobe.
-
E.
Baku
Baku is the capital and largest city of Azerbaijan, known for its rich blend of Islamic heritage and modern architecture on the shores of the Caspian Sea.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924ee0f08190baf68318b41fa64d |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a925148190992101984895a20b |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:20 a.m.