Triple
T37175634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raymondskill Falls |
E921033
|
entity |
| Predicate | isOneOfTallestWaterfallsIn |
P8811
|
FINISHED |
| Object | Pennsylvania |
—
|
NE NERFINISHED |
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: Pennsylvania | Statement: [Raymondskill Falls, isOneOfTallestWaterfallsIn, Pennsylvania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfTallestWaterfallsIn Context triple: [Raymondskill Falls, isOneOfTallestWaterfallsIn, Pennsylvania]
-
A.
hasFamousWaterfall
Indicates that an entity is associated with, contains, or is the location of a well-known or notable waterfall.
-
B.
isOneOfHighestPeaksIn
Indicates that an entity is among the tallest or most elevated peaks within a specified group, region, or category.
-
C.
majorWaterfall
Indicates that a waterfall is of significant size, height, or volume relative to other waterfalls.
-
D.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
E.
isOneOfTallestIn
chosen
Indicates that an entity is among the tallest members within a specified group, set, or location.
- 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_69f76ea16f288190b445aa1604d996f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.