Triple
T8824901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SG postcode area |
E209989
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | Biggleswade |
E330568
|
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: Biggleswade | Statement: [SG postcode area, hasPostTown, Biggleswade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biggleswade Context triple: [SG postcode area, hasPostTown, Biggleswade]
-
A.
Biggleswade
chosen
Biggleswade is a market town in eastern England situated on the River Ivel, known historically for agriculture and as a local commercial center.
-
B.
Sawbridgeworth
Sawbridgeworth is a historic market town in Hertfordshire, England, situated near the River Stort and known for its commuter links to London and surrounding countryside.
-
C.
Arlesey
Arlesey is a small town in Bedfordshire, England, known for its residential character and rail links to London.
-
D.
Gerrards Cross
Gerrards Cross is an affluent commuter town in South Buckinghamshire, England, known for its leafy residential character and convenient rail links to central London.
-
E.
Leighton Buzzard
Leighton Buzzard is a historic market town in southern England known for its traditional high street, canal-side setting, and proximity to London.
- 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc603220508190b64e22dec3ee5ceb |
completed | April 1, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba0609a4819081cae3ae3d5a8478 |
completed | April 3, 2026, 1 p.m. |
Created at: March 30, 2026, 6:46 p.m.