Triple
T1417556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breckland line |
E31952
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Attleborough |
E166985
|
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: Attleborough | Statement: [Breckland line, passesThrough, Attleborough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Attleborough Context triple: [Breckland line, passesThrough, Attleborough]
-
A.
Attleborough
chosen
Attleborough is a market town and civil parish in the English county of Norfolk.
-
B.
Lewes
Lewes is a historic market town in southeastern England known for its medieval architecture, castle, and famous Bonfire Night celebrations.
-
C.
Lewes
Lewes is a historic coastal town in southern Delaware, recognized as one of the earliest European settlements in the state and a popular gateway to nearby Atlantic beaches.
-
D.
Great Yarmouth
Great Yarmouth is a coastal town and seaside resort in Norfolk, England, historically significant as a fishing port and parliamentary borough.
-
E.
Dereham
Dereham is a market town in the English county of Norfolk, known historically for its agriculture and rural character.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c404e92c8190bd018673383f4534 |
completed | March 1, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad232534f48190b1392c2fba119b7c |
completed | March 8, 2026, 7:20 a.m. |
Created at: March 1, 2026, 7:59 p.m.