Triple
T6488168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friar’s Crag |
E146565
|
entity |
| Predicate | hasApproximateWalkingTimeFromKeswick |
P53938
|
FINISHED |
| Object | about 20 minutes |
—
|
LITERAL 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: about 20 minutes | Statement: [Friar’s Crag, hasApproximateWalkingTimeFromKeswick, about 20 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateWalkingTimeFromKeswick Context triple: [Friar’s Crag, hasApproximateWalkingTimeFromKeswick, about 20 minutes]
-
A.
distanceToKeswick
Indicates the spatial distance between a given entity and the location named Keswick.
-
B.
hasApproximateWalkingTimeTo
chosen
Indicates that there is an estimated or approximate amount of time it takes to walk from one entity to another.
-
C.
distanceToKnaresborough
Indicates the spatial distance between a given entity and the location of Knaresborough.
-
D.
distanceToWelshpool
Indicates the spatial distance between a given entity and the location of Welshpool.
-
E.
distanceFromAlnwick
Indicates the measured distance between a given entity and the location of Alnwick.
- F. None of above.
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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a97fff88190b6f993c14df62649 |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:52 p.m.