Triple
T22367662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayserispor |
E552950
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Anadolu Yıldızı
Anadolu Yıldızı is a Turkish professional football club based in Kayseri, competing in the country's top leagues and known for its passionate regional support.
|
E1533174
|
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: Anadolu Yıldızı | Statement: [Kayserispor, nickname, Anadolu Yıldızı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anadolu Yıldızı Context triple: [Kayserispor, nickname, Anadolu Yıldızı]
-
A.
Sarıoğlan
Sarıoğlan is a town and district in central Turkey known for its rural character and location within the Central Anatolia region.
-
B.
Yıldız
Yıldız is a Turkish feminine given name meaning "star," commonly used in Turkey and among Turkish-speaking communities.
-
C.
Gökçek
Gökçek is a Turkish surname most prominently associated with longtime Ankara mayor and politician Melih Gökçek.
-
D.
Albayrak
Albayrak is a Turkish surname most prominently associated with Berat Albayrak, a businessman and former Turkish finance minister.
-
E.
Aydınlıkevler
Aydınlıkevler is a neighborhood in the Altındağ district of Ankara, Turkey, known primarily as a residential area.
- 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: Anadolu Yıldızı Triple: [Kayserispor, nickname, Anadolu Yıldızı]
Generated description
Anadolu Yıldızı is a Turkish professional football club based in Kayseri, competing in the country's top leagues and known for its passionate regional support.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anadolu Yıldızı Target entity description: Anadolu Yıldızı is a Turkish professional football club based in Kayseri, competing in the country's top leagues and known for its passionate regional support.
-
A.
Sarıoğlan
Sarıoğlan is a town and district in central Turkey known for its rural character and location within the Central Anatolia region.
-
B.
Yıldız
Yıldız is a Turkish feminine given name meaning "star," commonly used in Turkey and among Turkish-speaking communities.
-
C.
Gökçek
Gökçek is a Turkish surname most prominently associated with longtime Ankara mayor and politician Melih Gökçek.
-
D.
Albayrak
Albayrak is a Turkish surname most prominently associated with Berat Albayrak, a businessman and former Turkish finance minister.
-
E.
Aydınlıkevler
Aydınlıkevler is a neighborhood in the Altındağ district of Ankara, Turkey, known primarily as a residential area.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158017400819094ebf7f91c26a724 |
completed | April 29, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae0685c7881908d0ed5fee6d17b5f |
completed | May 18, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_6a0ae4812f4481908ed0e00937419241 |
completed | May 18, 2026, 10:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ae515d6808190bc7bee259c12ca6e |
completed | May 18, 2026, 10:08 a.m. |
Created at: April 16, 2026, 8:44 p.m.