Triple
T17240743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Frissell |
E418489
|
entity |
| Predicate | hasHighestConnecticutElevationOn |
P112251
|
FINISHED |
| Object | southern slope |
—
|
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: southern slope | Statement: [Mount Frissell, hasHighestConnecticutElevationOn, southern slope]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighestConnecticutElevationOn Context triple: [Mount Frissell, hasHighestConnecticutElevationOn, southern slope]
-
A.
containsHighestPointOf
chosen
Indicates that one entity includes within its boundaries the location of the highest point of another entity.
-
B.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
C.
highestElevationApprox
Indicates that an entity has an approximate value for the maximum elevation reached within its spatial or conceptual extent.
-
D.
isEasternPeakOf
Indicates that one peak is the eastern member or counterpart within a set or pair of related peaks.
-
E.
trailHighPointOf
Indicates that one location is the highest elevation point along a specified trail or route.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e203ec88190a21f38cbb18a14fa |
completed | April 19, 2026, 1:21 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.