Triple
T17134706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madonna del Ghisallo |
E415804
|
entity |
| Predicate | hasApproximateLengthOfMainClimb |
P54394
|
FINISHED |
| Object | about 10 kilometres from Bellagio |
—
|
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 10 kilometres from Bellagio | Statement: [Madonna del Ghisallo, hasApproximateLengthOfMainClimb, about 10 kilometres from Bellagio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateLengthOfMainClimb Context triple: [Madonna del Ghisallo, hasApproximateLengthOfMainClimb, about 10 kilometres from Bellagio]
-
A.
climbLength
chosen
Indicates the total distance or vertical extent covered by a climbing route or ascent.
-
B.
durationTypicalAscent
Indicates the typical amount of time required to complete an ascent.
-
C.
totalAscent
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
-
D.
lengthOfMainRidge
Indicates the measured extent or distance of the primary ridge of an object or structure.
-
E.
hasApproxElevationGainFt
Indicates that one entity is associated with an approximate amount of elevation gain, measured in feet, relative to another context or reference.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f02dca8881908efd73741397a207 |
completed | April 18, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.