Triple
T4812229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford City F.C. |
E107097
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Oxford City |
E19137
|
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: Oxford City | Statement: [Oxford City F.C., shortName, Oxford City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxford City Context triple: [Oxford City F.C., shortName, Oxford City]
-
A.
Oxford City Council
Oxford City Council is the local government authority responsible for providing municipal services and administration for the city of Oxford, England.
-
B.
Coventry
Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
-
C.
Oxford
chosen
Oxford is a historic English city renowned for its prestigious university, distinctive architecture, and long-standing academic and cultural influence.
-
D.
Oxford
Oxford is a small town in New Haven County, Connecticut, known for its suburban-rural character and growing residential communities.
-
E.
Oxford
Oxford is a small city in northeastern Alabama known for its location in the Anniston–Oxford metropolitan area and proximity to the Talladega National Forest.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c7d168481908efd9d28b35e4bae |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be778a642081908761067765ba09c8 |
completed | March 21, 2026, 10:48 a.m. |
Created at: March 20, 2026, 1:23 p.m.