Triple
T21831112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Farnham |
E538995
|
entity |
| Predicate | rangeHighPoint |
P127587
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Mount Farnham, rangeHighPoint, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rangeHighPoint Context triple: [Mount Farnham, rangeHighPoint, yes]
-
A.
rangeHighPointRelation
chosen
Indicates a relationship where one value or entity represents the upper or maximum point of a specified range relative to another.
-
B.
isHighestRangeOf
Indicates that one entity represents the maximum or topmost range or interval within which another entity falls or is categorized.
-
C.
hasHighest
Indicates that one entity possesses the greatest value, rank, or level in a specified attribute or set compared to all others.
-
D.
elevationRangeUpperBound
Indicates the maximum elevation value that bounds the upper limit of an elevation range for something.
-
E.
highestPointsForm
Indicates that a given form or configuration achieves the greatest number of points compared to all other relevant forms.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f091362d9081909f00ad7a2806d5cb |
completed | April 28, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69e6be8c14748190bdcc44a14d50bea4 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:55 p.m.