Triple
T13482260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almaty Region |
E318399
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Tekeli |
E902924
|
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: Tekeli | Statement: [Almaty Region, containsCity, Tekeli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tekeli Context triple: [Almaty Region, containsCity, Tekeli]
-
A.
Tekeli
Tekeli is a town or village located within the Menderes district of İzmir Province in western Turkey.
-
B.
Tekeli
chosen
Tekeli is a town in southeastern Kazakhstan that hosts a campus of the University of Central Asia and serves as a regional educational hub.
-
C.
Keitele
Keitele is a small rural municipality in central Finland known for its lakes, forests, and traditional Finnish countryside.
-
D.
Tuuri
Tuuri is a poem featured in Eino Leino’s influential Finnish poetry collection "Helkavirsiä," known for its use of Finnish mythological and folkloric themes.
-
E.
Terioki
Terioki was the former name of the Finnish coastal town now known as Zelenogorsk, a resort area near Saint Petersburg on the Gulf of Finland.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3868ec8190a6a1803018d4f2d8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74635145c8190a42199fe4ed8c2a5 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.