Triple
T17287702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mediterranean Region |
E419701
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Burdur |
—
|
NE NERFINISHED |
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: Burdur | Statement: [Mediterranean Region, contains, Burdur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burdur Context triple: [Mediterranean Region, contains, Burdur]
-
A.
Burdur
chosen
Burdur is a city in southwestern Turkey known for its nearby lakes, archaeological sites, and traditional Ottoman-era architecture.
-
B.
Milas
Milas is a town in southwestern Turkey known for its rich ancient Carian and Roman heritage and numerous archaeological sites.
-
C.
Kütahya
Kütahya is a historic city in western Turkey known for its Ottoman-era architecture and traditional ceramic and tile production.
-
D.
Nevşehir
Nevşehir is a city in central Turkey that serves as the main urban center and gateway to the historic, cave-dotted region of Cappadocia.
-
E.
Afyon
Afyon is the former name of Afyonkarahisar, a city in western Turkey known for its strategic location, thermal springs, and opium poppy production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43780fad88190b82193c8335e2f11 |
completed | April 19, 2026, 2:01 a.m. |
Created at: April 10, 2026, 5:40 a.m.