Triple
T13352738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ankara commuter rail (Başkentray) |
E318108
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Kayaş
Kayaş is a suburban neighborhood and railway terminus in Ankara, Turkey, serving as an endpoint for the city's Başkentray commuter rail system.
|
E1035812
|
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: Kayaş | Statement: [Ankara commuter rail (Başkentray), connects, Kayaş]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kayaş Context triple: [Ankara commuter rail (Başkentray), connects, Kayaş]
-
A.
Kocaali
Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
-
B.
Alacakaya
Alacakaya is a small town and district in eastern Turkey known for its marble quarries and location within Elazığ Province.
-
C.
Karsiyaka
Karsiyaka is a coastal district and residential-commercial hub of the city of İzmir in western Turkey, known for its lively waterfront and urban amenities along the Gulf of İzmir.
-
D.
Kashshaya
Kashshaya was a Neo-Babylonian royal woman known primarily as the wife of King Amel-Marduk.
-
E.
Ayazağa
Ayazağa is a neighborhood on Istanbul’s European side that forms part of the Sarıyer district and is known for its mix of residential areas, university campuses, and business centers.
- 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: Kayaş Triple: [Ankara commuter rail (Başkentray), connects, Kayaş]
Generated description
Kayaş is a suburban neighborhood and railway terminus in Ankara, Turkey, serving as an endpoint for the city's Başkentray commuter rail system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kayaş Target entity description: Kayaş is a suburban neighborhood and railway terminus in Ankara, Turkey, serving as an endpoint for the city's Başkentray commuter rail system.
-
A.
Kocaali
Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
-
B.
Alacakaya
Alacakaya is a small town and district in eastern Turkey known for its marble quarries and location within Elazığ Province.
-
C.
Karsiyaka
Karsiyaka is a coastal district and residential-commercial hub of the city of İzmir in western Turkey, known for its lively waterfront and urban amenities along the Gulf of İzmir.
-
D.
Kashshaya
Kashshaya was a Neo-Babylonian royal woman known primarily as the wife of King Amel-Marduk.
-
E.
Ayazağa
Ayazağa is a neighborhood on Istanbul’s European side that forms part of the Sarıyer district and is known for its mix of residential areas, university campuses, and business centers.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8d520881908aa23c7102b72b72 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f49e5548190b14d09daea628e6b |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f721b1a5d88190b9075437c7ab81a5 |
completed | May 3, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72262ede4819095b3dc4c7cd63450 |
completed | May 3, 2026, 10:24 a.m. |
Created at: April 9, 2026, 9:32 p.m.