Triple
T17202519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teksas |
E417511
|
entity |
| Predicate | supportsTeam |
P6593
|
FINISHED |
| Object | Bursaspor senior team |
E86231
|
NE FINISHED |
How this triple was built (2 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: Bursaspor senior team | Statement: [Teksas, supportsTeam, Bursaspor senior team]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bursaspor senior team Context triple: [Teksas, supportsTeam, Bursaspor senior team]
-
A.
Bursaspor
chosen
Bursaspor is a professional Turkish sports club best known for its football team, which has competed in the country’s top leagues and is based in the city of Bursa.
-
B.
Boluspor
Boluspor is a Turkish professional football club based in the city of Bolu that competes in the country’s football league system.
-
C.
Sivasspor
Sivasspor is a professional Turkish football club based in Sivas that competes in the country's top leagues and has featured notable international players.
-
D.
Sakaryaspor
Sakaryaspor is a Turkish professional football club known for developing notable talents such as legendary striker Hakan Şükür.
-
E.
Giresunspor
Giresunspor is a Turkish professional football club based in the city of Giresun that competes in the national league system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42db014b08190b88a5001e9f7811b |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fdc13d88190bbf9e6d1272814d2 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:38 a.m.