Triple
T11978371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menderes |
E285092
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kasımpaşa (Menderes) |
E683380
|
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: Kasımpaşa (Menderes) | Statement: [Menderes, contains, Kasımpaşa (Menderes)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasımpaşa (Menderes) Context triple: [Menderes, contains, Kasımpaşa (Menderes)]
-
A.
Kasımpaşa
chosen
Kasımpaşa is a historic waterfront neighborhood in Istanbul, Turkey, known for its maritime heritage, working-class character, and proximity to the Golden Horn.
-
B.
Kazlıçeşme
Kazlıçeşme is a coastal neighborhood on Istanbul’s European side, historically known for its tanneries and now a key transport and redevelopment hub.
-
C.
Kemalpaşa
Kemalpaşa is a district and town in western Turkey known for its cherry production and proximity to the city of İzmir.
-
D.
Narlıdere
Narlıdere is a coastal district of İzmir, Turkey, known for its residential character and location along the Gulf of İzmir.
-
E.
Muratpaşa
Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
- 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_69f471f6afc48190856a0f7c486b28aa |
completed | May 1, 2026, 9:27 a.m. |
Created at: April 8, 2026, 9:46 p.m.