Triple
T12739577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karşıyaka |
E304452
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Yalı
Yalı is a coastal neighborhood in the Karşıyaka district of İzmir, Turkey, known for its seaside location and urban residential character.
|
E1009307
|
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: Yalı | Statement: [Karşıyaka, hasNeighbourhood, Yalı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yalı Context triple: [Karşıyaka, hasNeighbourhood, Yalı]
-
A.
Narlıdere
Narlıdere is a coastal district of İzmir, Turkey, known for its residential character and location along the Gulf of İzmir.
-
B.
Yassıada
Yassıada is one of Istanbul’s Princes' Islands in the Sea of Marmara, historically known for its use as a place of exile and for hosting the 1960–61 trials of Turkish political leaders.
-
C.
Havza
Havza is a district and town in northern Turkey known for its thermal springs and location within Samsun Province in the Black Sea region.
-
D.
Gürsu
Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
-
E.
Kazlıçeşme
Kazlıçeşme is a coastal neighborhood on Istanbul’s European side, historically known for its tanneries and now a key transport and redevelopment hub.
- 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: Yalı Triple: [Karşıyaka, hasNeighbourhood, Yalı]
Generated description
Yalı is a coastal neighborhood in the Karşıyaka district of İzmir, Turkey, known for its seaside location and urban residential character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yalı Target entity description: Yalı is a coastal neighborhood in the Karşıyaka district of İzmir, Turkey, known for its seaside location and urban residential character.
-
A.
Narlıdere
Narlıdere is a coastal district of İzmir, Turkey, known for its residential character and location along the Gulf of İzmir.
-
B.
Yassıada
Yassıada is one of Istanbul’s Princes' Islands in the Sea of Marmara, historically known for its use as a place of exile and for hosting the 1960–61 trials of Turkish political leaders.
-
C.
Havza
Havza is a district and town in northern Turkey known for its thermal springs and location within Samsun Province in the Black Sea region.
-
D.
Gürsu
Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
-
E.
Kazlıçeşme
Kazlıçeşme is a coastal neighborhood on Istanbul’s European side, historically known for its tanneries and now a key transport and redevelopment hub.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646dfc908190bc398935d1d23537 |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a53e9fa08190805d55e9fcf7e79f |
completed | May 3, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69f6a68978008190a9d8695b09a8cb3a |
completed | May 3, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a8a4b0d08190b91fd46ece569039 |
completed | May 3, 2026, 1:45 a.m. |
Created at: April 9, 2026, 5:26 p.m.