Triple
T2942836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Adams |
E79426
|
entity |
| Predicate | managedTeam |
P3234
|
FINISHED |
| Object |
Gabala FK
Gabala FK is a professional football club from Qabala, Azerbaijan, that competes in the Azerbaijan Premier League.
|
E311452
|
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: Gabala FK | Statement: [Tony Adams, managedTeam, Gabala FK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabala FK Context triple: [Tony Adams, managedTeam, Gabala FK]
-
A.
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.
-
B.
Dinamo Tirana
Dinamo Tirana is a professional Albanian football club based in the capital city, known historically as one of the country's most successful and prominent teams.
-
C.
FC Ijevan
FC Ijevan is a football club based in the town of Ijevan in Armenia.
-
D.
Shakhter Karagandy football club
Shakhter Karagandy football club is a professional Kazakhstani football team known for competing in the country’s top division and achieving domestic league success.
-
E.
FC Gomel
FC Gomel is a professional football club from Gomel, Belarus, that competes in the Belarusian football league system.
- 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: Gabala FK Triple: [Tony Adams, managedTeam, Gabala FK]
Generated description
Gabala FK is a professional football club from Qabala, Azerbaijan, that competes in the Azerbaijan Premier League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabala FK Target entity description: Gabala FK is a professional football club from Qabala, Azerbaijan, that competes in the Azerbaijan Premier League.
-
A.
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.
-
B.
Dinamo Tirana
Dinamo Tirana is a professional Albanian football club based in the capital city, known historically as one of the country's most successful and prominent teams.
-
C.
FC Ijevan
FC Ijevan is a football club based in the town of Ijevan in Armenia.
-
D.
Shakhter Karagandy football club
Shakhter Karagandy football club is a professional Kazakhstani football team known for competing in the country’s top division and achieving domestic league success.
-
E.
FC Gomel
FC Gomel is a professional football club from Gomel, Belarus, that competes in the Belarusian football league system.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9871fc908190ad90e5b01b476b3f |
completed | March 8, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08689ec3481909d9f039069ff19c7 |
completed | March 10, 2026, 9 p.m. |
| NEDg | Description generation | batch_69b0d241c7088190b440a47f4af54fbb |
completed | March 11, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0d6466e848190bea4215cc9d358c7 |
completed | March 11, 2026, 2:41 a.m. |
Created at: March 8, 2026, 2:56 p.m.