Triple
T12895731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavlodar Region |
E308486
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Aksu |
E1008470
|
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: Aksu | Statement: [Pavlodar Region, hasMajorCity, Aksu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aksu Context triple: [Pavlodar Region, hasMajorCity, Aksu]
-
A.
Aksu
Aksu is a city in northwestern China’s Xinjiang Uyghur Autonomous Region, known as an important oasis and agricultural center along the historic Silk Road.
-
B.
Aksu
Aksu is a modern town in Antalya Province, Turkey, located near the ancient city of Perge and known for its agricultural production and growing tourism.
-
C.
Aksu
chosen
Aksu is an industrial city in northeastern Kazakhstan known for its power plant and metallurgical facilities.
-
D.
Aksu River
The Aksu River is a major river in northwestern China and Kyrgyzstan that forms the principal headwater of the Tarim River in the arid Tarim Basin.
-
E.
Turkistan
Turkistan is a historic city in southern Kazakhstan renowned as a major center of Islamic culture and pilgrimage in Central Asia.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717d859481908957510babac2d69 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af59f3cc81908c99bcde43e724e6 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:40 p.m.