Triple
T10058286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mycale Strait |
E208918
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kuşadası |
E410825
|
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: Kuşadası | Statement: [Mycale Strait, locatedNear, Kuşadası]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuşadası Context triple: [Mycale Strait, locatedNear, Kuşadası]
-
A.
Kuşadası
chosen
Kuşadası is a popular Aegean coastal resort town in western Turkey, known for its beaches, cruise port, and proximity to the ancient city of Ephesus.
-
B.
Kekova
Kekova is a small Turkish Mediterranean island and surrounding region famed for its submerged ancient ruins and scenic coastal landscape.
-
C.
Büyükada
Büyükada is the largest and most popular of Istanbul’s Princes' Islands, known for its historic wooden mansions, car-free streets, and seaside promenades.
-
D.
Bozcaada
Bozcaada is a Turkish Aegean island known for its historic castle, vineyards, and well-preserved traditional architecture.
-
E.
Kemalpaşa
Kemalpaşa is a district and town in western Turkey known for its cherry production and proximity to the city of İzmir.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcfaf7700819084dedf7b63e789c1 |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a5d4b308190b5b1ece1ca99be86 |
completed | April 5, 2026, 5:22 p.m. |
Created at: March 30, 2026, 8:57 p.m.