Triple
T8360425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleveland Hills |
E196992
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object | Urra Moor |
E115707
|
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: Urra Moor | Statement: [Cleveland Hills, hasHighestPoint, Urra Moor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urra Moor Context triple: [Cleveland Hills, hasHighestPoint, Urra Moor]
-
A.
Urra Moor
chosen
Urra Moor is a prominent upland area in North Yorkshire, England, known for its expansive heather moorland and far-reaching views across the North York Moors National Park.
-
B.
Biddulph Moor
Biddulph Moor is a rural village and upland area in Staffordshire, England, known for its elevated moorland landscape and views over the surrounding countryside.
-
C.
Stanwell Moor
Stanwell Moor is a village in the borough of Spelthorne, Surrey, England, situated close to Heathrow Airport and the River Colne.
-
D.
Caudale Moor
Caudale Moor is a fell in the Lake District of Cumbria, England, known for its broad grassy summit and views over the surrounding valleys and passes.
-
E.
Margam Moors
Margam Moors is a coastal industrial and wetland area in Neath Port Talbot, South Wales, known for its heavy industry, energy facilities, and ecological significance.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80728eb081909bae6aae45848fab |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc775a548819090c83d916b352f41 |
completed | April 2, 2026, 1:33 a.m. |
Created at: March 30, 2026, 6 p.m.