Triple
T2837439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İzmir Metro |
E62383
|
entity |
| Predicate | connectsDistrict |
P2564
|
FINISHED |
| Object |
Narlıdere
Narlıdere is a coastal district of İzmir, Turkey, known for its residential character and location along the Gulf of İzmir.
|
E304451
|
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: Narlıdere | Statement: [İzmir Metro, connectsDistrict, Narlıdere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narlıdere Context triple: [İzmir Metro, connectsDistrict, Narlıdere]
-
A.
Dumlupınar
Dumlupınar is a town in western Turkey best known as the decisive battlefield where Turkish forces secured victory in the 1922 Great Offensive of the Turkish War of Independence.
-
B.
Alibeyköy Stream
Alibeyköy Stream is a river in Istanbul, Turkey, that flows through the city's European side and contributes significantly to the Golden Horn estuary.
-
C.
Kilmez River
The Kilmez River is a waterway in Russia that serves as a tributary within the Kama River basin.
-
D.
Keles River
The Keles River is a Central Asian watercourse that flows through Kazakhstan and Uzbekistan before joining the Syr Darya.
-
E.
Kaymaklı
Kaymaklı is an ancient multi-level underground city in Turkey’s Cappadocia region, renowned for its extensive tunnels, living quarters, and historical use as a refuge.
- 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: Narlıdere Triple: [İzmir Metro, connectsDistrict, Narlıdere]
Generated description
Narlıdere is a coastal district of İzmir, Turkey, known for its residential character and location along the Gulf of İzmir.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Narlıdere Target entity description: Narlıdere is a coastal district of İzmir, Turkey, known for its residential character and location along the Gulf of İzmir.
-
A.
Dumlupınar
Dumlupınar is a town in western Turkey best known as the decisive battlefield where Turkish forces secured victory in the 1922 Great Offensive of the Turkish War of Independence.
-
B.
Alibeyköy Stream
Alibeyköy Stream is a river in Istanbul, Turkey, that flows through the city's European side and contributes significantly to the Golden Horn estuary.
-
C.
Kilmez River
The Kilmez River is a waterway in Russia that serves as a tributary within the Kama River basin.
-
D.
Keles River
The Keles River is a Central Asian watercourse that flows through Kazakhstan and Uzbekistan before joining the Syr Darya.
-
E.
Kaymaklı
Kaymaklı is an ancient multi-level underground city in Turkey’s Cappadocia region, renowned for its extensive tunnels, living quarters, and historical use as a refuge.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdeede0488190a9782f55b57559ee |
completed | March 7, 2026, 8:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8cbaa4081909ff4e9fdf590e352 |
completed | March 10, 2026, 9:47 a.m. |
| NEDg | Description generation | batch_69afea1732b481909a8df01d80ca1bd4 |
completed | March 10, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b00eff94b481909a4cc08c8494870c |
completed | March 10, 2026, 12:30 p.m. |
Created at: March 6, 2026, 10:01 p.m.