Triple
T21777900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astana–Almaty |
E537628
|
entity |
| Predicate | cityStatusOfAlmaty |
P22389
|
FINISHED |
| Object | largest city of Kazakhstan |
—
|
LITERAL 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: largest city of Kazakhstan | Statement: [Astana–Almaty, cityStatusOfAlmaty, largest city of Kazakhstan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityStatusOfAlmaty Context triple: [Astana–Almaty, cityStatusOfAlmaty, largest city of Kazakhstan]
-
A.
cityStatusContext
chosen
Indicates the contextual status or role that a city holds within a broader administrative, political, or situational framework.
-
B.
cityCenterStatus
Indicates whether a location holds the status of being the central or main area of a city.
-
C.
cityStatusUntil
Indicates the period up to a specified time during which a place holds or held a particular city status.
-
D.
cityArea
Indicates the total geographic area covered by a city.
-
E.
cityDistrictStatus
Indicates the administrative or legal status that a city district holds within its governing jurisdiction.
- F. None of above.
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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462b094c81908207073c278a58fe |
completed | April 28, 2026, 5:31 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:51 p.m.