Triple
T11978380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menderes |
E285092
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Karabağlar |
E304449
|
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: Karabağlar | Statement: [Menderes, borderedBy, Karabağlar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karabağlar Context triple: [Menderes, borderedBy, Karabağlar]
-
A.
Karabağlar
chosen
Karabağlar is a populous urban district of İzmir, Turkey, known primarily as a residential and commercial area within the city’s metropolitan region.
-
B.
Karabulak
Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
-
C.
Balakan
Balakan is a town and district center in northwestern Azerbaijan, near the border with Georgia and Russia, known for its mountainous landscapes and agricultural production.
-
D.
Kaynarca
Kaynarca is a small town and district in northwestern Turkey, located within Sakarya Province and known for its rural character and agricultural activities.
-
E.
Gürbulak
Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90393cfb08190b5b45d3e5e32fad3 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48a9628cc819095d15fd90023e57d |
completed | May 1, 2026, 11:12 a.m. |
Created at: April 8, 2026, 9:46 p.m.