Triple
T25345037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skyline Trail from Paradise |
E635520
|
entity |
| Predicate | trailheadFacility |
P159107
|
FINISHED |
| Object | visitor center at Paradise |
—
|
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: visitor center at Paradise | Statement: [Skyline Trail from Paradise, trailheadFacility, visitor center at Paradise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailheadFacility Context triple: [Skyline Trail from Paradise, trailheadFacility, visitor center at Paradise]
-
A.
trailheadType
Indicates the specific kind or classification of a trailhead associated with a trail or route.
-
B.
alternativeTrailhead
Indicates that one trailhead serves as an alternative starting point or access location for the same trail as another trailhead.
-
C.
trailheadName
Indicates the name assigned to the starting point or access point of a trail.
-
D.
accessTrailhead
Indicates that an entity has a way to reach or enter a specific trailhead location.
-
E.
trailheadIn
Indicates that a trailhead is located within or at a specific place or area.
- 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f498bb04ec8190bd125654fdcd2027 |
completed | May 1, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 1:34 p.m.