Triple
T11227805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujinomiya Trail |
E265740
|
entity |
| Predicate | trailheadType |
P97938
|
FINISHED |
| Object | 5th Station |
—
|
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: 5th Station | Statement: [Fujinomiya Trail, trailheadType, 5th Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailheadType Context triple: [Fujinomiya Trail, trailheadType, 5th Station]
-
A.
accessTrailhead
Indicates that an entity has a way to reach or enter a specific trailhead location.
-
B.
hasTrailheadAt
Indicates that a trail or route begins or has its official starting point at a specified location.
-
C.
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.
-
D.
hasTrailheadSignage
Indicates that a trailhead is equipped with signage providing information or guidance to users.
-
E.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ff7b40819089c835be710bc575 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d75cfbbb188190861efd5d94fe27da |
completed | April 9, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.