Triple
T22464921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orphan Lake Trail |
E555326
|
entity |
| Predicate | hasTrailheadFacility |
P148315
|
FINISHED |
| Object | parking area |
—
|
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: parking area | Statement: [Orphan Lake Trail, hasTrailheadFacility, parking area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrailheadFacility Context triple: [Orphan Lake Trail, hasTrailheadFacility, parking area]
-
A.
hasTrailheadArea
Indicates that a location serves as the starting area or access point for a trail or network of trails.
-
B.
hasTrailheadAt
Indicates that a trail or route begins or has its official starting point at a specified location.
-
C.
hasTrailheadSignage
Indicates that a trailhead is equipped with signage providing information or guidance to users.
-
D.
hasOfficialTrailhead
Indicates that a location or route is associated with a formally designated and recognized starting point for a trail.
-
E.
hasTrailheads
Indicates that one location or area contains or provides access points where trails begin.
- F. None of above. chosen
Provenance (4 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b82549c8190943c0940bb90bafc |
completed | April 29, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:48 p.m.