Triple
T37096953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gocta Waterfall |
E918587
|
entity |
| Predicate | trailLengthFromCocachimba |
P18078
|
FINISHED |
| Object | about 5–6 km one way |
—
|
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: about 5–6 km one way | Statement: [Gocta Waterfall, trailLengthFromCocachimba, about 5–6 km one way]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailLengthFromCocachimba Context triple: [Gocta Waterfall, trailLengthFromCocachimba, about 5–6 km one way]
-
A.
trailLengthApprox
chosen
Indicates an approximate measurement of the total length of a trail.
-
B.
distanceToCochabamba
Indicates the spatial distance between a given entity and the location of Cochabamba.
-
C.
trailLengthCategory
Indicates the classification of a trail based on its total length (e.g., short, medium, long).
-
D.
trailName
Indicates the name assigned to a specific trail or path in the relationship.
-
E.
canyonLength
Indicates the measured linear extent or distance from one end of a canyon to the other.
- 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_69f76e9a48bc8190a3947508d8bca408 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.