Triple
T36910443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujinomiya Route |
E912890
|
entity |
| Predicate | hasTrailheadFacilities |
P148315
|
FINISHED |
| Object | parking |
—
|
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 | Statement: [Fujinomiya Route, hasTrailheadFacilities, parking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrailheadFacilities Context triple: [Fujinomiya Route, hasTrailheadFacilities, parking]
-
A.
hasTrailheadFacility
chosen
Indicates that a location provides a designated starting-point facility or infrastructure for accessing a trail.
-
B.
hasTrailheadArea
Indicates that a location serves as the starting area or access point for a trail or network of trails.
-
C.
hasTrailheads
Indicates that one location or area contains or provides access points where trails begin.
-
D.
hasTrailheadSignage
Indicates that a trailhead is equipped with signage providing information or guidance to users.
-
E.
hasTrailheadAt
Indicates that a trail or route begins or has its official starting point at a specified location.
- 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_69f76e879768819085c2fb31a6a5b44b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a000be59ad88190a6aa3a42c097796d |
completed | May 10, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_6a000ab6e9bc81908300b81d004e5921 |
completed | May 10, 2026, 4:33 a.m. |
Created at: May 3, 2026, 4:13 p.m.