Triple
T21238733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirak FC |
E523414
|
entity |
| Predicate | hasRivalryWith |
P893
|
FINISHED |
| Object | FC Ararat Yerevan |
—
|
NE NERFINISHED |
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 Ararat Yerevan | Statement: [Shirak FC, hasRivalryWith, FC Ararat Yerevan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FC Ararat Yerevan Context triple: [Shirak FC, hasRivalryWith, FC Ararat Yerevan]
-
A.
FC Ararat Yerevan
chosen
FC Ararat Yerevan is a prominent Armenian football club historically recognized for its success and influence during the Soviet era.
-
B.
Shirak FC
Shirak FC is a professional Armenian football club based in the city of Gyumri and one of the country's historically prominent teams.
-
C.
FC Gandzasar Kapan
FC Gandzasar Kapan is an Armenian professional football club based in the town of Kapan that competes in the country’s national league system.
-
D.
FC Dila Gori
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.
-
E.
FC Ijevan
FC Ijevan is a football club based in the town of Ijevan in Armenia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73521eb7c8190b1b97b42d0d052c3 |
completed | April 21, 2026, 8:28 a.m. |
Created at: April 16, 2026, 3:46 p.m.