Triple
T11795080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ribble catchment |
E280484
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Leyland |
E34365
|
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: Leyland | Statement: [Ribble catchment, containsTown, Leyland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leyland Context triple: [Ribble catchment, containsTown, Leyland]
-
A.
Leyland
chosen
Leyland is a town in Lancashire, England, historically known for its vehicle manufacturing industry, particularly Leyland Motors.
-
B.
Aston
Aston is a masculine given name of English origin, used both as a first name and a surname.
-
C.
Aston
Aston is a small rural village located within the district of West Oxfordshire in Oxfordshire, England.
-
D.
Leylands
Leylands is a residential neighbourhood within the town of Burgess Hill in West Sussex, England.
-
E.
Blackburn
Blackburn is a large industrial town in Lancashire, England, historically known for its textile manufacturing and located north of Manchester.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a082d08190a42541396a06ed98 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0911c2a40819088079fc286e4dc67 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 8, 2026, 9:42 p.m.