Triple
T38288453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chilnualna Falls trailhead near Wawona |
E1022285
|
entity |
| Predicate | hasTrailUseType |
P202232
|
FINISHED |
| Object | out-and-back |
—
|
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: out-and-back | Statement: [Chilnualna Falls trailhead near Wawona, hasTrailUseType, out-and-back]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrailUseType Context triple: [Chilnualna Falls trailhead near Wawona, hasTrailUseType, out-and-back]
-
A.
hasTrailUseRule
Indicates that a specified rule governs how a particular trail may be used.
-
B.
hasTrailType
Indicates that an entity (such as a trail or route) is associated with a specific type or category of trail.
-
C.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
D.
hasTrailFeature
Indicates that a trail possesses or is characterized by a specific feature or attribute.
-
E.
hasTrailExperience
Indicates that an entity has prior experience or familiarity with using or navigating trails.
- 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_69f76df190f081908d5aa02c8a9286d0 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a006417d1f4819093b2da02dbf2ab22 |
completed | May 10, 2026, 10:55 a.m. |
| PD | Predicate disambiguation | batch_6a00634a7a748190ac4774493fce3d30 |
completed | May 10, 2026, 10:51 a.m. |
| PDg | Predicate description generation | batch_6a006416f78081909b6ef047c531158d |
completed | May 10, 2026, 10:55 a.m. |
Created at: May 3, 2026, 4:30 p.m.