Triple
T20260487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A417 road |
E498819
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Wantage |
—
|
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: Wantage | Statement: [A417 road, passesNear, Wantage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wantage Context triple: [A417 road, passesNear, Wantage]
-
A.
Wantage
chosen
Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
-
B.
Slough
Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
-
C.
Bicester
Bicester is a historic market town in Oxfordshire, England, best known today for its rapid growth and the popular designer outlet shopping destination Bicester Village.
-
D.
Beaconsfield
Beaconsfield is a small unincorporated rural community located in Ringgold County in southern Iowa, United States.
-
E.
Beaconsfield
Beaconsfield is a suburban city on the western part of the Island of Montreal in Quebec, Canada, known for its residential character and waterfront along Lake Saint-Louis.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674c90d00819082f68822635ee86a |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.