Triple
T13032684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gediz, Kütahya |
E326480
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Gediz |
E1020356
|
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: Gediz | Statement: [Gediz, Kütahya, hasSettlement, Gediz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gediz Context triple: [Gediz, Kütahya, hasSettlement, Gediz]
-
A.
Gediz
chosen
Gediz is a town and district in Turkey’s Kütahya Province, known for its thermal springs and location in the country’s Aegean region.
-
B.
Gediz River
The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
-
C.
Gelibolu
Gelibolu is a historic coastal town in Turkey located on the Gallipoli Peninsula, known for its strategic position on the Dardanelles and its role in Ottoman and World War I history.
-
D.
Ergene
Ergene is a district and municipality in Turkey’s Tekirdağ Province, located in the European (Thrace) part of the country and known for its industrial activity.
-
E.
Bafra
Bafra is a town and district in Turkey’s Samsun Province, known for its fertile agricultural plain and proximity to the Black Sea coast.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efe72348190b52fb4068f5fb829 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e269c18481908e0b46c298a946ca |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 8:54 p.m.