Triple
T17002896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazakh Air Defense Forces |
E412492
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object | Astana |
E50521
|
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: Astana | Statement: [Kazakh Air Defense Forces, headquartersLocation, Astana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Astana Context triple: [Kazakh Air Defense Forces, headquartersLocation, Astana]
-
A.
Astana
chosen
Astana is the planned, modernist capital city of Kazakhstan, known for its futuristic architecture and rapid development since the late 20th century.
-
B.
Astana–Almaty
Astana–Almaty refers to the joint hosting arrangement by Kazakhstan’s capital Astana (now Nur-Sultan) and its largest city Almaty for major international events, notably the 2011 Asian Winter Games.
-
C.
Kairat
Kairat is a professional football club based in Almaty, Kazakhstan, known for competing in the country’s top football division.
-
D.
Nur-Sultan
Nur-Sultan is the planned capital city of Kazakhstan, known for its rapid modern development and distinctive futuristic architecture.
-
E.
Almaty
Almaty is the largest city and main commercial and cultural center of Kazakhstan, located in the country’s mountainous southeast.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37f8ba88190b8d32a1d09b6e6fd |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b451ff88190b63f4ebddf93f153 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:32 a.m.