Triple
T14724693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woburn |
E345907
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Leighton Buzzard |
E338543
|
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: Leighton Buzzard | Statement: [Woburn, near, Leighton Buzzard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leighton Buzzard Context triple: [Woburn, near, Leighton Buzzard]
-
A.
Leighton Buzzard
chosen
Leighton Buzzard is a historic market town in southern England known for its traditional high street, canal-side setting, and proximity to London.
-
B.
Aylesbury
Aylesbury is a historic market town in southern England that serves as an important commercial and administrative center in Buckinghamshire.
-
C.
Berkhamsted
Berkhamsted is a historic market town in Hertfordshire, England, known for its medieval castle remains and role as a commuter hub northwest of London.
-
D.
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.
-
E.
Beaconsfield
Beaconsfield is a small unincorporated rural community located in Ringgold County in southern Iowa, United States.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25e9a14819081fa06fc601f295d |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bc289f88190819c2e93c0f816a7 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 1:29 a.m.