Triple
T12967158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muğla Province |
E321290
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Köyceğiz
Köyceğiz is a town and district in southwestern Turkey known for its large lake, natural beauty, and proximity to popular Aegean and Mediterranean coastal areas.
|
E1077735
|
NE FINISHED |
How this triple was built (4 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: Köyceğiz | Statement: [Muğla Province, contains, Köyceğiz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Köyceğiz Context triple: [Muğla Province, contains, Köyceğiz]
-
A.
Yalıköy
Yalıköy is a neighborhood in the Beykoz district of Istanbul, Turkey, known for its residential character and proximity to the Bosphorus.
-
B.
Aydıncık
Aydıncık is a coastal town and district in southern Turkey known for its Mediterranean shoreline and location within Mersin Province.
-
C.
Gölcük
Gölcük is a coastal town and district in northwestern Turkey, situated on the Gulf of İzmit and known for its naval base and shipyard.
-
D.
Keçiören
Keçiören is a densely populated metropolitan district and municipality of Ankara, known as one of the capital city’s major residential and commercial areas.
-
E.
Karataş
Karataş is a coastal town and district in Adana Province, southern Turkey, known for its fishing, agriculture, and Mediterranean beaches.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Köyceğiz Triple: [Muğla Province, contains, Köyceğiz]
Generated description
Köyceğiz is a town and district in southwestern Turkey known for its large lake, natural beauty, and proximity to popular Aegean and Mediterranean coastal areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Köyceğiz Target entity description: Köyceğiz is a town and district in southwestern Turkey known for its large lake, natural beauty, and proximity to popular Aegean and Mediterranean coastal areas.
-
A.
Yalıköy
Yalıköy is a neighborhood in the Beykoz district of Istanbul, Turkey, known for its residential character and proximity to the Bosphorus.
-
B.
Aydıncık
Aydıncık is a coastal town and district in southern Turkey known for its Mediterranean shoreline and location within Mersin Province.
-
C.
Gölcük
Gölcük is a coastal town and district in northwestern Turkey, situated on the Gulf of İzmit and known for its naval base and shipyard.
-
D.
Keçiören
Keçiören is a densely populated metropolitan district and municipality of Ankara, known as one of the capital city’s major residential and commercial areas.
-
E.
Karataş
Karataş is a coastal town and district in Adana Province, southern Turkey, known for its fishing, agriculture, and Mediterranean beaches.
- F. None of above. chosen
Provenance (5 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e3f702481908f0f90f4f12d3f4d |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb63f006c8190997c0f3cdc6efd6c |
completed | May 7, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_69fcc4734d388190b4a06799e362cfa9 |
completed | May 7, 2026, 4:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc51f30588190bfe6efd1dc84d921 |
completed | May 7, 2026, 5 p.m. |
Created at: April 9, 2026, 8:30 p.m.