Triple
T37621621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Camel |
E936082
|
entity |
| Predicate | CamelTrailFollows |
P3625
|
FINISHED |
| Object | former railway line from Padstow to Wenfordbridge |
—
|
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: former railway line from Padstow to Wenfordbridge | Statement: [River Camel, CamelTrailFollows, former railway line from Padstow to Wenfordbridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CamelTrailFollows Context triple: [River Camel, CamelTrailFollows, former railway line from Padstow to Wenfordbridge]
-
A.
trailsBehind
Indicates that one entity follows or moves after another, remaining at a distance behind it in space, time, or progress.
-
B.
trailblazerFor
Indicates that one entity serves as a pioneering example, opening the way or setting a precedent for another entity to follow or build upon.
-
C.
hasTrail
chosen
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
D.
campingOnTrail
Indicates that an entity is engaged in camping activities located directly on a trail or pathway.
-
E.
loopTrail
Indicates that a trail or path forms a closed loop, starting and ending at the same point without backtracking over the same segment.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.