Triple
T9300375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Normal Route on Aconcagua |
E223742
|
entity |
| Predicate | altitudeChallenge |
P30489
|
FINISHED |
| Object | extreme elevation gain from trailhead to summit |
—
|
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: extreme elevation gain from trailhead to summit | Statement: [Normal Route on Aconcagua, altitudeChallenge, extreme elevation gain from trailhead to summit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: altitudeChallenge Context triple: [Normal Route on Aconcagua, altitudeChallenge, extreme elevation gain from trailhead to summit]
-
A.
nearestSummit
Indicates that one summit is the closest in distance to a given reference point or location compared to all other summits.
-
B.
totalAscent
chosen
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
-
C.
altitudeCategory
Indicates the classification of something based on its height or elevation relative to a reference level (e.g., low, medium, high altitude).
-
D.
reachesSummit
Indicates that an entity successfully arrives at or attains the highest point or summit of something.
-
E.
altitudeEffect
Indicates how a change in altitude influences or modifies some property, condition, or outcome.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d070c881908bed41aada6f85ae |
completed | April 1, 2026, noon |
| PD | Predicate disambiguation | batch_69cc7a5ef1908190bc5ca166bb895af6 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:36 p.m.