Triple
T21238734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirak FC |
E523414
|
entity |
| Predicate | hasRivalryWith |
P893
|
FINISHED |
| Object |
FC Pyunik
FC Pyunik is a prominent Armenian football club from Yerevan, known for its domestic success and role in developing many of the country’s top players.
|
E1473162
|
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: FC Pyunik | Statement: [Shirak FC, hasRivalryWith, FC Pyunik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FC Pyunik Context triple: [Shirak FC, hasRivalryWith, FC Pyunik]
-
A.
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.
-
B.
FC Ararat Yerevan
FC Ararat Yerevan is a prominent Armenian football club historically recognized for its success and influence during the Soviet era.
-
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 Ijevan
FC Ijevan is a football club based in the town of Ijevan in Armenia.
-
E.
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.
- 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: FC Pyunik Triple: [Shirak FC, hasRivalryWith, FC Pyunik]
Generated description
FC Pyunik is a prominent Armenian football club from Yerevan, known for its domestic success and role in developing many of the country’s top players.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FC Pyunik Target entity description: FC Pyunik is a prominent Armenian football club from Yerevan, known for its domestic success and role in developing many of the country’s top players.
-
A.
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.
-
B.
FC Ararat Yerevan
FC Ararat Yerevan is a prominent Armenian football club historically recognized for its success and influence during the Soviet era.
-
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 Ijevan
FC Ijevan is a football club based in the town of Ijevan in Armenia.
-
E.
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.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73521eb7c8190b1b97b42d0d052c3 |
completed | April 21, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0986f235b08190bd0a7ded7e1c9cbc |
completed | May 17, 2026, 9:14 a.m. |
| NEDg | Description generation | batch_6a09877c03508190ae15fc181e3cc05e |
completed | May 17, 2026, 9:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09884d294c8190911935ae7b162b1f |
completed | May 17, 2026, 9:20 a.m. |
Created at: April 16, 2026, 3:46 p.m.