Triple
T4127468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaaterskill Falls |
E92759
|
entity |
| Predicate | upperTierHeight |
P53989
|
FINISHED |
| Object | about 167 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 167 feet | Statement: [Kaaterskill Falls, upperTierHeight, about 167 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upperTierHeight Context triple: [Kaaterskill Falls, upperTierHeight, about 167 feet]
-
A.
hasUpperTier
Indicates that one entity occupies a higher or superior level, rank, or layer in a hierarchical structure relative to another entity.
-
B.
hasUpperFloor
Indicates that one entity possesses or includes an upper floor relative to another level or reference point.
-
C.
heightAboveSurroundings
Indicates that an entity’s vertical position or elevation is higher than that of its immediate surrounding area.
-
D.
hasTowerHeight
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
-
E.
ceilingHeight
Indicates the vertical distance from the floor to the ceiling in a given space.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af01883b6c8190a482ead589a131a5 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af039fb19c8190b20e62a3b3ad25c1 |
completed | March 9, 2026, 5:30 p.m. |
Created at: March 9, 2026, 3:42 p.m.