Triple
T22765235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N63 road |
E563105
|
entity |
| Predicate | connectsTown |
P845
|
FINISHED |
| Object | Lanesborough |
—
|
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: Lanesborough | Statement: [N63 road, connectsTown, Lanesborough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanesborough Context triple: [N63 road, connectsTown, Lanesborough]
-
A.
Lanesborough
Lanesborough is a small town in western Massachusetts known for its rural character and proximity to the Berkshire Mountains.
-
B.
Lanesborough
chosen
Lanesborough is a small Irish town situated on the River Shannon, known for its scenic waterfront and location on the border of County Longford and County Roscommon.
-
C.
Martinsborough
Martinsborough was the original name of the city now known as Greenville in eastern North Carolina.
-
D.
Spencerville
Spencerville is a small rural community in eastern Ontario, Canada, known for its historic mill and annual Spencerville Fair.
-
E.
Woodborough
Woodborough is a village in Nottinghamshire, England, known for its rural character and location within the Gedling borough near Nottingham.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a80249c819091569e7b8d500b45 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.