Triple
T14712421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel-Gabriel Paccard |
E345582
|
entity |
| Predicate | mountaineeringAchievement |
P115473
|
FINISHED |
| Object | first ascent of Mont Blanc |
—
|
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: first ascent of Mont Blanc | Statement: [Michel-Gabriel Paccard, mountaineeringAchievement, first ascent of Mont Blanc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountaineeringAchievement Context triple: [Michel-Gabriel Paccard, mountaineeringAchievement, first ascent of Mont Blanc]
-
A.
mountaineeringActivity
Indicates an activity where individuals engage in climbing or traversing mountains, often involving specialized skills and equipment.
-
B.
nearestSummit
Indicates that one summit is the closest in distance to a given reference point or location compared to all other summits.
-
C.
mountainHeightClimbed
Indicates the height of a mountain that has been climbed by an entity.
-
D.
highestPeakClimbed
Indicates the tallest mountain or peak that an entity has successfully climbed.
-
E.
reachesSummit
Indicates that an entity successfully arrives at or attains the highest point or summit of something.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb982bf248190881e21a8a0861a3f |
completed | April 14, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:28 a.m.