Triple
T23518746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Clough Trophy |
E574440
|
entity |
| Predicate | firstLegVenue |
P16061
|
FINISHED |
| Object | City Ground |
—
|
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: City Ground | Statement: [Brian Clough Trophy, firstLegVenue, City Ground]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City Ground Context triple: [Brian Clough Trophy, firstLegVenue, City Ground]
-
A.
City Ground
chosen
City Ground is a football stadium in Nottingham, England, best known as the long-time home of Nottingham Forest F.C.
-
B.
Castlefield
Castlefield is a historic urban area in Manchester, England, known for its preserved industrial heritage, canals, and Roman origins.
-
C.
London Road Stand
London Road Stand is a spectator seating area at the former Manor Ground football stadium, historically used by Oxford United supporters.
-
D.
London Fields
London Fields is a popular public park in the London Borough of Hackney known for its open green space, lido, and vibrant community atmosphere.
-
E.
Castlefields
Castlefields is a residential suburb within the town of Runcorn in Cheshire, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa84fe7c8190aa1078a118af7d61 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.