Triple
T2628453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dila Gori |
E59175
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | FC Dila Gori |
E7244
|
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: FC Dila Gori | Statement: [Dila Gori, fullName, FC Dila Gori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FC Dila Gori Context triple: [Dila Gori, fullName, FC Dila Gori]
-
A.
FC Dila Gori
chosen
FC Dila Gori is a professional Georgian football club based in the city of Gori that competes in the country’s top leagues and domestic competitions.
-
B.
FC Alania Vladikavkaz
FC Alania Vladikavkaz is a Russian professional football club based in Vladikavkaz, best known for winning the Russian Premier League title in 1995.
-
C.
FC Akhmat Grozny
FC Akhmat Grozny is a professional football club from Grozny, Russia, that competes in the Russian Premier League.
-
D.
FC Volgar Astrakhan
FC Volgar Astrakhan is a Russian professional football club based in Astrakhan that has competed primarily in the country’s lower divisions.
-
E.
FC Rotor Volgograd
FC Rotor Volgograd is a Russian professional football club based in Volgograd, historically known for competing in the country’s top divisions and participating in European competitions in the 1990s.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8c2e3d88190a972f58356f282cc |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90a44a348190b8b49b37418dd94b |
completed | March 10, 2026, 3:31 a.m. |
Created at: March 6, 2026, 9:50 p.m.