Triple
T8980557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Wyre |
E214512
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Scorton |
E179908
|
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: Scorton | Statement: [River Wyre, hasNearbySettlement, Scorton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scorton Context triple: [River Wyre, hasNearbySettlement, Scorton]
-
A.
Scorton
chosen
Scorton is a small rural village in Lancashire, England, known for its scenic setting near the Forest of Bowland and its surrounding countryside.
-
B.
Screveton
Screveton is a small rural village and civil parish in Nottinghamshire, England, known for its historic church and traditional countryside character.
-
C.
Silksworth
Silksworth is a residential suburb of Sunderland in North East England, historically a mining village and now known for its housing estates and leisure facilities.
-
D.
Burtonwood
Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
-
E.
Thornsett
Thornsett is a small rural settlement located within the High Peak area of Derbyshire in England.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a615b081909b88e761be879802 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc9719f5c8190bc22c3c7375b54f7 |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:03 p.m.