Triple
T2467573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lino Lacedelli |
E55287
|
entity |
| Predicate | majorPeakElevationClimbed |
P6289
|
FINISHED |
| Object | 8611 m |
—
|
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: 8611 m | Statement: [Lino Lacedelli, majorPeakElevationClimbed, 8611 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorPeakElevationClimbed Context triple: [Lino Lacedelli, majorPeakElevationClimbed, 8611 m]
-
A.
highestPeakClimbed
chosen
Indicates the tallest mountain or peak that an entity has successfully climbed.
-
B.
nearestSummit
Indicates that one summit is the closest in distance to a given reference point or location compared to all other summits.
-
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.
reachedSummitWith
Indicates that one entity arrived at or attained the summit together with another entity, as part of the same ascent or achievement.
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0b3ea308190a6d8499c2a542c50 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:44 p.m.