Triple
T15792843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganja International Airport |
E382900
|
entity |
| Predicate | locatedInTimeZone |
P109
|
FINISHED |
| Object | AZT |
E359235
|
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: AZT | Statement: [Ganja International Airport, locatedInTimeZone, AZT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AZT Context triple: [Ganja International Airport, locatedInTimeZone, AZT]
-
A.
AZT
chosen
AZT is the standard time zone used in Azerbaijan, typically four hours ahead of Coordinated Universal Time (UTC+4).
-
B.
Truvada
Truvada is a prescription antiretroviral medication widely used both to treat HIV infection and as pre-exposure prophylaxis (PrEP) to help prevent HIV in high-risk individuals.
-
C.
Toclafane
The Toclafane are a race of deadly, cybernetic spheres revealed to be the future remnants of humanity in the Doctor Who universe, serving as instruments of mass destruction under the Master.
-
D.
zanamivir
Zanamivir is an inhaled neuraminidase inhibitor antiviral drug used to treat and prevent influenza A and B infections, including strains such as the 2009 H1N1 virus.
-
E.
Bunefer
Bunefer was an ancient Egyptian queen of the late Fourth Dynasty, likely known from her tomb at Giza and associated with the royal family of that period.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4da381c819086195e3d20591abf |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90ab23048190a6d976c9a3143647 |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.