Triple
T8124259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gunners |
E189683
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Gunners |
E189683
|
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: Gunners | Statement: [The Gunners, alsoKnownAs, Gunners]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunners Context triple: [The Gunners, alsoKnownAs, Gunners]
-
A.
The Gunners
chosen
The Gunners is the traditional nickname of the Royal Regiment of Artillery, a corps of the British Army responsible for providing artillery support.
-
B.
Arsenalna
Arsenalna is a Kyiv Metro station best known for being one of the deepest underground metro stations in the world.
-
C.
Jags
Jags is the commonly used nickname for the IUPUI Jaguars athletic teams representing Indiana University–Purdue University Indianapolis.
-
D.
Rovers
Rovers is the commonly used nickname for Doncaster Rovers Football Club, an English professional football team based in Doncaster, South Yorkshire.
-
E.
Rovers
Rovers is the commonly used nickname for the Scottish football club Raith Rovers F.C., reflecting its traditional identity in Scottish football.
- 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_69ca82bb74848190afb1f18640632c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb438d3f408190a0367daf0fbca9d2 |
completed | March 31, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9462e0e88190b34333144e0f741c |
completed | April 1, 2026, 3:43 a.m. |
Created at: March 30, 2026, 5:34 p.m.