Triple
T7283020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adirondack Forty-Six High Peaks |
E163796
|
entity |
| Predicate | hasElevationCriterionFeet |
P75378
|
FINISHED |
| Object | 4000 |
—
|
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: 4000 | Statement: [Adirondack Forty-Six High Peaks, hasElevationCriterionFeet, 4000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElevationCriterionFeet Context triple: [Adirondack Forty-Six High Peaks, hasElevationCriterionFeet, 4000]
-
A.
hasApproxElevationFeet
Indicates that an entity is associated with an elevation value measured in feet that is approximate rather than exact.
-
B.
elevationFeetApproximate
Indicates the approximate elevation of an entity above sea level, measured in feet.
-
C.
hasElevationFeature
Indicates that one entity possesses or is characterized by a particular elevation-related feature or attribute, such as height, altitude, or vertical relief.
-
D.
elevationMinFeet
Indicates the minimum elevation of an entity or location, measured in feet.
-
E.
hasTopElevation
Indicates that an entity has a specified maximum or highest elevation value.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb4ec2088190a6713eaa221d49a6 |
completed | March 27, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6e82b0f9881909d29c99af1ea0dbf |
completed | March 27, 2026, 8:27 p.m. |
Created at: March 27, 2026, 2:59 p.m.