Triple
T2595229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breckland district |
E58212
|
entity |
| Predicate | hasMarketTown |
P847
|
FINISHED |
| Object | Swaffham |
E164461
|
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: Swaffham | Statement: [Breckland district, hasMarketTown, Swaffham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swaffham Context triple: [Breckland district, hasMarketTown, Swaffham]
-
A.
Swaffham
chosen
Swaffham is a historic market town in the English county of Norfolk, known for its traditional town center and surrounding rural landscape.
-
B.
Fakenham
Fakenham is a market town in Norfolk, England, known historically for its agriculture and as a local commercial center.
-
C.
Thetford
Thetford is a historic market town in eastern England known for its ancient earthworks, links to Thomas Paine, and surrounding Breckland forest.
-
D.
Wymondham
Wymondham is a historic market town in the English county of Norfolk, known for its medieval abbey and traditional architecture.
-
E.
Kempshott
Kempshott is a residential suburb of Basingstoke in Hampshire, England, known for its family housing and local amenities.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd83299708190993b79daaffcc9a1 |
completed | March 7, 2026, 7:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbb123148190bca17d1b70fe5245 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:49 p.m.