Triple
T11182621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karaganda coal basin |
E264577
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Abay |
E910149
|
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: Abay | Statement: [Karaganda coal basin, containsCity, Abay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abay Context triple: [Karaganda coal basin, containsCity, Abay]
-
A.
Abay
chosen
Abay is a town in central Kazakhstan known as an administrative and industrial center in the Karaganda Region.
-
B.
Abunayyan
Abunayyan is a prominent Saudi family name associated with influential figures in business and public life in Saudi Arabia.
-
C.
Rushan
Rushan is a county-level coastal city in eastern Shandong Province, China, known for its fishing industry, beaches, and marine-based economy.
-
D.
Abasha
Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
-
E.
Aba
Aba is a small town in central Hungary located within Fejér County, known for its rural character and agricultural surroundings.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8a9c5e081908c85b41a268428fb |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e496f195108190a7bc9c8089ffc364 |
completed | April 19, 2026, 8:48 a.m. |
Created at: April 8, 2026, 9:29 p.m.