Triple
T14598503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherry Tree |
E342638
|
entity |
| Predicate | hasRailConnectionTo |
P848
|
FINISHED |
| Object | Colne |
E179903
|
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: Colne | Statement: [Cherry Tree, hasRailConnectionTo, Colne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colne Context triple: [Cherry Tree, hasRailConnectionTo, Colne]
-
A.
Colne
chosen
Colne is a historic market town in Lancashire, England, known for its textile heritage and location near the Pennine hills.
-
B.
Cornholme
Cornholme is a village in West Yorkshire, England, situated in the Upper Calder Valley near Todmorden.
-
C.
Rothwell
Rothwell is a town in Northamptonshire, England, situated near Kettering and known for its historic market heritage.
-
D.
Rothwell
Rothwell is a town in West Yorkshire, England, situated near Leeds and historically known for its coal mining and market traditions.
-
E.
Barnoldswick
Barnoldswick is a small market town in Lancashire, England, known for its industrial heritage and scenic location near the Yorkshire Dales.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb436d92881908fdf9267568feee2 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94ca0fec81908fb9c674f48a793b |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:25 a.m.