Triple
T18354161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford Town |
E439745
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Oxford Town |
—
|
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: Oxford Town | Statement: [Oxford Town, hasTitle, Oxford Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxford Town Context triple: [Oxford Town, hasTitle, Oxford Town]
-
A.
Oxford Town
chosen
"Oxford Town" is a protest song by Bob Dylan that addresses racial injustice and the integration of the University of Mississippi in the early 1960s.
-
B.
Woburn
Woburn is a historic village in Bedfordshire, England, best known for Woburn Abbey and its associated safari park and estate.
-
C.
Woburn
Woburn is a residential neighbourhood in the eastern part of Toronto, Ontario, known for its diverse community and mix of high-rise apartments and single-family homes.
-
D.
Woburn
Woburn is a village in Saint George Parish on the Caribbean island nation of Grenada.
-
E.
East Oxford
East Oxford is a vibrant, diverse area of Oxford, England, known for its lively student population, independent shops, and cultural mix.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d458148190849ed28fa90eb92b |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 10, 2026, 10:37 a.m.