Triple
T22426615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenashdale Falls |
E554385
|
entity |
| Predicate | hasWoodlandWalks |
P140677
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Glenashdale Falls, hasWoodlandWalks, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWoodlandWalks Context triple: [Glenashdale Falls, hasWoodlandWalks, yes]
-
A.
hasNearbyWoodland
Indicates that one entity is located close to or in the immediate vicinity of a woodland area associated with another entity.
-
B.
hasHikingAccess
chosen
Indicates that one location or entity provides access or a connection to hiking trails or hiking areas.
-
C.
isOnGreatWalk
Indicates that one location or path lies along or is part of a designated “Great Walk” route.
-
D.
walks
Indicates that an entity moves on foot from one place to another, typically at a regular, moderate pace.
-
E.
isScenicWalkway
Indicates that a path or route is designated as a walkway notable for its visually appealing or picturesque surroundings.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2e438481908d43026727afa709 |
completed | April 29, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.