Triple
T12077799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabletop Mountain (Adirondacks) |
E287596
|
entity |
| Predicate | AdirondackHighPeakRank |
P103081
|
FINISHED |
| Object | 19 |
—
|
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: 19 | Statement: [Tabletop Mountain (Adirondacks), AdirondackHighPeakRank, 19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AdirondackHighPeakRank Context triple: [Tabletop Mountain (Adirondacks), AdirondackHighPeakRank, 19]
-
A.
trailHighPointOf
Indicates that one location is the highest elevation point along a specified trail or route.
-
B.
summitElevation
Indicates the elevation or height of a summit above a reference level, typically sea level.
-
C.
territorialPeak
Indicates the highest geographical point located within the territory or jurisdiction of a given entity.
-
D.
isEasternPeakOf
Indicates that one peak is the eastern member or counterpart within a set or pair of related peaks.
-
E.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bf4f508190842927e7e0642235 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:48 p.m.