Triple
T12739187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İzmir ESHOT bus network |
E304442
|
entity |
| Predicate | serviceAreaIncludes |
P82
|
FINISHED |
| Object | Beydağ |
E701929
|
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: Beydağ | Statement: [İzmir ESHOT bus network, serviceAreaIncludes, Beydağ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beydağ Context triple: [İzmir ESHOT bus network, serviceAreaIncludes, Beydağ]
-
A.
Beydağ
chosen
Beydağ is a small town and district in western Turkey known for its agricultural landscape and location within İzmir Province.
-
B.
Bozdağ
Bozdağ is a Turkish surname most notably associated with Bekir Bozdağ, a prominent Turkish politician and former government minister.
-
C.
Elmadağ
Elmadağ is a district and town in central Turkey known for its mountainous terrain and proximity to the capital city, Ankara.
-
D.
Göllü Dağ
Göllü Dağ is a volcanic mountain in central Turkey known for its obsidian deposits and prominent role in the region’s geological and archaeological history.
-
E.
Yanardag
Yanardag is a natural gas fire that continuously blazes on a hillside near Baku, Azerbaijan, and is one of the country’s most famous “Land of Fire” attractions.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646cfcac81909283dca987755c0e |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8ff57c8190a935b5c9f4bb5aa3 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.