Triple
T19820018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldcotes Dyke |
E476163
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Langold |
—
|
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: Langold | Statement: [Oldcotes Dyke, flowsThrough, Langold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langold Context triple: [Oldcotes Dyke, flowsThrough, Langold]
-
A.
Langold
chosen
Langold is a village in Nottinghamshire, England, known for its former mining community and nearby Langold Country Park.
-
B.
Grimston
Grimston is a village and civil parish in the English county of Norfolk, known for its historic church and rural setting near King’s Lynn.
-
C.
Balderstone
Balderstone is a district and residential area within the Balderstone and Kirkholt ward of Rochdale in Greater Manchester, England.
-
D.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
-
E.
Grosmont
Grosmont is a small village in North Yorkshire, England, known for its heritage railway station on the North Yorkshire Moors Railway and its scenic moorland surroundings.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654fe0ff8819084bad251b76eff77 |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.