Triple
T8445065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teke Peninsula |
E199651
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Kemer |
E417772
|
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: Kemer | Statement: [Teke Peninsula, containsCity, Kemer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kemer Context triple: [Teke Peninsula, containsCity, Kemer]
-
A.
Kemer
chosen
Kemer is a popular seaside resort town on Turkey’s Mediterranean coast, known for its beaches, marinas, and proximity to the Taurus Mountains.
-
B.
Manavgat
Manavgat is a coastal town and popular tourist district in southern Turkey, known for its river, waterfalls, and proximity to the ancient city of Side.
-
C.
Bodrum
Bodrum is a popular coastal city and resort town in southwestern Turkey, known for its beaches, nightlife, and historic landmarks such as Bodrum Castle.
-
D.
Gazipaşa
Gazipaşa is a coastal town and district in Antalya Province, southern Turkey, known for its Mediterranean beaches, agricultural production, and proximity to ancient ruins.
-
E.
Bergama
Bergama is a town in western Turkey known for encompassing the archaeological remains of the ancient city of Pergamon, a major Hellenistic and Roman cultural and political center.
- 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_69ce1dac8cb08190b74985a6ba3c938f |
completed | April 2, 2026, 7:41 a.m. |
Created at: March 30, 2026, 6:09 p.m.