Triple
T17736460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elazığ |
E442729
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
Elazığspor
Elazığspor is a Turkish professional football club based in the city of Elazığ, competing in the national league system.
|
E1285475
|
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: Elazığspor | Statement: [Elazığ, hasSportsClub, Elazığspor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elazığspor Context triple: [Elazığ, hasSportsClub, Elazığspor]
-
A.
Tuzlaspor
Tuzlaspor is a Turkish professional football club based in the Tuzla district of Istanbul that competes in the country's league system.
-
B.
Adanaspor
Adanaspor is a professional Turkish football club based in Adana that competes in the country’s league system and has featured various international players.
-
C.
Akınspor
Akınspor was a Turkish football club that became one of the predecessor teams merged to form Eskişehirspor.
-
D.
Sakaryaspor
Sakaryaspor is a Turkish professional football club known for developing notable talents such as legendary striker Hakan Şükür.
-
E.
Kayseri Erciyesspor
Kayseri Erciyesspor is a Turkish professional football club based in Kayseri that has competed in the country’s top leagues under various names throughout its history.
- 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: Elazığspor Triple: [Elazığ, hasSportsClub, Elazığspor]
Generated description
Elazığspor is a Turkish professional football club based in the city of Elazığ, competing in the national league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elazığspor Target entity description: Elazığspor is a Turkish professional football club based in the city of Elazığ, competing in the national league system.
-
A.
Tuzlaspor
Tuzlaspor is a Turkish professional football club based in the Tuzla district of Istanbul that competes in the country's league system.
-
B.
Adanaspor
Adanaspor is a professional Turkish football club based in Adana that competes in the country’s league system and has featured various international players.
-
C.
Akınspor
Akınspor was a Turkish football club that became one of the predecessor teams merged to form Eskişehirspor.
-
D.
Sakaryaspor
Sakaryaspor is a Turkish professional football club known for developing notable talents such as legendary striker Hakan Şükür.
-
E.
Kayseri Erciyesspor
Kayseri Erciyesspor is a Turkish professional football club based in Kayseri that has competed in the country’s top leagues under various names throughout its history.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478ec48988190a503f9aafeab6d23 |
completed | April 19, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0242f965148190a7b76796546ab920 |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a02455730948190b1151d24f260d768 |
completed | May 11, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0245c34d008190ae029000dc8e9cbc |
completed | May 11, 2026, 9:10 p.m. |
Created at: April 10, 2026, 10:08 a.m.