Triple
T10585278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eagle Falls |
E249838
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object | upper falls |
E149066
|
NE 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: upper falls | Statement: [Eagle Falls, hasFeature, upper falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: upper falls Context triple: [Eagle Falls, hasFeature, upper falls]
-
A.
Upper North Falls
Upper North Falls is a scenic waterfall in Oregon’s Silver Falls State Park, known for its picturesque cascade along the park’s popular trail system.
-
B.
Upper Falls
chosen
Upper Falls is a village and neighborhood within the city of Newton, Massachusetts, known for its historic mill district along the Charles River.
-
C.
High Falls
High Falls is a prominent waterfall on the Pigeon River, known for its powerful drop along the U.S.–Canada border in the Great Lakes region.
-
D.
High Falls
High Falls is a prominent, scenic waterfall in North Carolina’s DuPont State Recreational Forest, known for its broad, cascading drop over exposed rock.
-
E.
High Falls
High Falls is a prominent waterfall on the Genesee River in downtown Rochester, New York, historically central to the city’s early industrial development and now a key scenic and tourist attraction.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52768da9c8190add1db88bf2e16ea |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b820330819090ed70c6ba29b5c2 |
completed | April 10, 2026, 7:12 p.m. |
Created at: April 6, 2026, 12:39 p.m.