Triple
T8445068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teke Peninsula |
E199651
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Isparta |
E449439
|
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: Isparta | Statement: [Teke Peninsula, containsCity, Isparta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isparta Context triple: [Teke Peninsula, containsCity, Isparta]
-
A.
Isparta
chosen
Isparta is a city in southwestern Turkey known for its rose cultivation and production of rose oil and related products.
-
B.
Manisa
Manisa is a historic city in western Turkey known for its agricultural production, especially grapes and olives, and its proximity to the Aegean coast.
-
C.
Isparta Province
Isparta Province is an inland region of southwestern Turkey known for its rose cultivation, lakes, and agricultural production.
-
D.
Gedera
Gedera is a town in central Israel known for its agricultural roots and diverse immigrant communities.
-
E.
Güzelyurt
Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe3138ee08190918cd82adbe2d9a1 |
completed | March 31, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf27e1bda481909062b9259a168eb0 |
completed | April 3, 2026, 2:37 a.m. |
Created at: March 30, 2026, 6:09 p.m.