Triple
T12739574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karşıyaka |
E304452
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Nergiz
Nergiz is a neighborhood within the Karşıyaka district of İzmir, Turkey, known as a residential and commercial area on the city’s northern shore.
|
E1001706
|
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: Nergiz | Statement: [Karşıyaka, hasNeighbourhood, Nergiz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nergiz Context triple: [Karşıyaka, hasNeighbourhood, Nergiz]
-
A.
Hülya
Hülya is a feminine given name of Turkish origin commonly used in Turkey and among Turkish communities.
-
B.
Nilüfer
Nilüfer is a modern district and rapidly developing residential and commercial area within the city of Bursa in northwestern Turkey.
-
C.
Melek Okyar
Melek Okyar was the wife of prominent Turkish statesman Fethi Okyar, associated with the early Republican era of Turkey.
-
D.
Aysegul Timur
Aysegul Timur is an academic leader and administrator who serves as president of Florida Gulf Coast University.
-
E.
Esra
Esra is a feminine given name commonly used in Turkey and other countries with Islamic cultural influence.
- 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: Nergiz Triple: [Karşıyaka, hasNeighbourhood, Nergiz]
Generated description
Nergiz is a neighborhood within the Karşıyaka district of İzmir, Turkey, known as a residential and commercial area on the city’s northern shore.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nergiz Target entity description: Nergiz is a neighborhood within the Karşıyaka district of İzmir, Turkey, known as a residential and commercial area on the city’s northern shore.
-
A.
Hülya
Hülya is a feminine given name of Turkish origin commonly used in Turkey and among Turkish communities.
-
B.
Nilüfer
Nilüfer is a modern district and rapidly developing residential and commercial area within the city of Bursa in northwestern Turkey.
-
C.
Melek Okyar
Melek Okyar was the wife of prominent Turkish statesman Fethi Okyar, associated with the early Republican era of Turkey.
-
D.
Aysegul Timur
Aysegul Timur is an academic leader and administrator who serves as president of Florida Gulf Coast University.
-
E.
Esra
Esra is a feminine given name commonly used in Turkey and other countries with Islamic cultural influence.
- 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_69f684eba2508190966d084cc21dc1ea |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f685dac5cc8190b4bc2d81186c9266 |
completed | May 2, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6869156048190b548ecd04561deb8 |
completed | May 2, 2026, 11:19 p.m. |
Created at: April 9, 2026, 5:26 p.m.