Triple
T13464187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabala FK |
E311452
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Gabala FK |
E311452
|
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: Gabala FK | Statement: [Gabala FK, shortName, Gabala FK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabala FK Context triple: [Gabala FK, shortName, Gabala FK]
-
A.
Gabala FK
chosen
Gabala FK is a professional football club from Qabala, Azerbaijan, that competes in the Azerbaijan Premier League.
-
B.
Sabail FK
Sabail FK is a professional football club based in Baku, Azerbaijan, competing in the Azerbaijan Premier League.
-
C.
FC Atyrau
FC Atyrau is a professional football club from the city of Atyrau in Kazakhstan that competes in the country’s top leagues.
-
D.
FC Zugdidi
FC Zugdidi is a Georgian professional football club based in the city of Zugdidi that competes in the country’s league system.
-
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.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0f1830819085700b4521e44678 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739a439548190bc78eef3b03da8b1 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:41 p.m.