Triple
T7607202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Bridgford |
E180136
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | City Ground |
E549811
|
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: City Ground | Statement: [West Bridgford, hasLandmark, City Ground]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City Ground Context triple: [West Bridgford, hasLandmark, 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 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.
-
D.
Castlefields
Castlefields is a residential suburb within the town of Runcorn in Cheshire, England.
-
E.
City Quays
City Quays is a modern mixed-use waterfront development in Belfast featuring offices, hotels, and public spaces as part of the city’s wider dockside regeneration.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fe10408190b1c12bb8f911cea8 |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86857db14819086d5ebd825d30e77 |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:54 p.m.