Triple
T20666080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Evans |
E507888
|
entity |
| Predicate | summitRoadHighestElevation |
P140980
|
FINISHED |
| Object | about 14260 feet |
—
|
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 14260 feet | Statement: [Mount Evans, summitRoadHighestElevation, about 14260 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: summitRoadHighestElevation Context triple: [Mount Evans, summitRoadHighestElevation, about 14260 feet]
-
A.
summitElevation
Indicates the elevation or height of a summit above a reference level, typically sea level.
-
B.
summitElevationNorth
Indicates the elevation of the summit located to the north relative to a given reference point or feature.
-
C.
eastSummitElevation
Indicates the elevation of the summit located on the eastern side of a geographic feature or area.
-
D.
summitStationName
Indicates that a station is identified by a specific name associated with a summit.
-
E.
highestRoadPassIn
Indicates that a location contains the highest-elevation road pass within a specified area or region.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c39dd48190965d65537592aef6 |
completed | April 20, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 11:44 a.m.