Triple
T10473670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Inspiration Point |
E246991
|
entity |
| Predicate | hasApproxElevationGainFt |
P94224
|
FINISHED |
| Object | 800 to 1000 |
—
|
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: 800 to 1000 | Statement: [Old Inspiration Point, hasApproxElevationGainFt, 800 to 1000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproxElevationGainFt Context triple: [Old Inspiration Point, hasApproxElevationGainFt, 800 to 1000]
-
A.
hasApproxElevationFeet
Indicates that an entity is associated with an elevation value measured in feet that is approximate rather than exact.
-
B.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
C.
elevationFeetApproximate
Indicates the approximate elevation of an entity above sea level, measured in feet.
-
D.
totalAscent
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
-
E.
approximateElevationGainFromParadise
Indicates the estimated amount of elevation gained when traveling from the location named Paradise to another specified point or along a specified route.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5094daac081908e0ba5e10c1bbb67 |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb84bafc8190819757b93620508a |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:20 p.m.