Triple
T12134865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ishim River |
E289029
|
entity |
| Predicate | hasCityOnBank |
P7935
|
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: [Ishim River, hasCityOnBank, Astana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Astana Context triple: [Ishim River, hasCityOnBank, 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.
Almaty
Almaty is the largest city and main commercial and cultural center of Kazakhstan, located in the country’s mountainous southeast.
-
E.
Zhezkazgan
Zhezkazgan is a major industrial and mining city in central Kazakhstan, known especially for its large copper deposits and metallurgical complex.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158c59e0819094d4522a107482b2 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce593bbc8190827ca217f43140b9 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 8, 2026, 9:49 p.m.