Triple
T18719742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rovers |
E457737
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Rovers |
—
|
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: Rovers | Statement: [Rovers, shortName, Rovers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rovers Context triple: [Rovers, shortName, Rovers]
-
A.
Rovers
Rovers is the commonly used nickname for the Scottish football club Raith Rovers F.C., reflecting its traditional identity in Scottish football.
-
B.
Rovers
Rovers is the commonly used short name for Hull Kingston Rovers, a professional rugby league club based in Kingston upon Hull, England.
-
C.
Rovers
Rovers is the commonly used nickname for Doncaster Rovers Football Club, an English professional football team based in Doncaster, South Yorkshire.
-
D.
Rovers
Rovers is the common nickname for Shamrock Rovers F.C., one of Ireland’s most successful and historically significant football clubs.
-
E.
The Dons
*The Dons* is a historical and sociological study by Noel Annan examining the culture, personalities, and evolution of the academic elite at Cambridge University.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab9e0dc8190bf579d7e89e941f4 |
completed | April 19, 2026, 11:52 p.m. |
Created at: April 10, 2026, 11:50 a.m.