Triple
T31034433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canonmills, Edinburgh |
E790816
|
entity |
| Predicate | hasNearbyWaterwayPath |
P49291
|
FINISHED |
| Object | Water of Leith Walkway |
—
|
NE NERFINISHED |
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: Water of Leith Walkway | Statement: [Canonmills, Edinburgh, hasNearbyWaterwayPath, Water of Leith Walkway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyWaterwayPath Context triple: [Canonmills, Edinburgh, hasNearbyWaterwayPath, Water of Leith Walkway]
-
A.
nearbyWatercourse
Indicates that one entity is located close to or alongside a natural or artificial watercourse, such as a river, stream, or canal.
-
B.
hasNearbyWater
chosen
Indicates that one entity is located close to a body of water associated with or relevant to another entity.
-
C.
isInWaterwaySystem
Indicates that an entity is part of, contained within, or traverses a particular waterway network or system.
-
D.
nearbyInternationalWaterway
Indicates that one entity is located close to an international waterway, such as a river, canal, or sea route that crosses or borders multiple countries.
-
E.
hasNearbyWaterInfrastructure
Indicates that a location or entity is situated close to water-related infrastructure such as pipes, treatment facilities, or distribution systems.
- 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_69f224c97a788190b5da1ead6038a74e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
Created at: April 29, 2026, 8:59 p.m.