Triple
T3845832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Zoncolan |
E93566
|
entity |
| Predicate | lengthOfClimbFromSutrio |
P51891
|
FINISHED |
| Object | about 13.5 km |
—
|
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 13.5 km | Statement: [Monte Zoncolan, lengthOfClimbFromSutrio, about 13.5 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthOfClimbFromSutrio Context triple: [Monte Zoncolan, lengthOfClimbFromSutrio, about 13.5 km]
-
A.
numberOfStepsToSummit
Indicates the total count of steps required to reach the summit from a specified starting point.
-
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.
reachesSummit
Indicates that an entity successfully arrives at or attains the highest point or summit of something.
-
E.
hasSummitTrail
Indicates that there exists a trail or route leading to the summit or highest point of a geographic feature.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb77a488190be7fc2a1211f1f2d |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee8d9b328819080158be59e5bcc97 |
completed | March 9, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:18 p.m.