Triple
T2586230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niagara River |
E58010
|
entity |
| Predicate | hasGorge |
P650
|
FINISHED |
| Object | Niagara Gorge |
E293454
|
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: Niagara Gorge | Statement: [Niagara River, hasGorge, Niagara Gorge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niagara Gorge Context triple: [Niagara River, hasGorge, Niagara Gorge]
-
A.
Niagara Falls
Niagara Falls is a famous group of massive waterfalls on the border between the United States and Canada, renowned for their impressive volume and natural beauty.
-
B.
Lower Niagara Rapids
chosen
The Lower Niagara Rapids are a turbulent stretch of whitewater on the Niagara River between Niagara Falls and Lake Ontario, known for their powerful currents and dramatic scenery.
-
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 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.
-
E.
Niagara
Niagara is a 1953 film noir thriller starring Marilyn Monroe, noted for its dramatic use of the Niagara Falls setting and Monroe’s breakout femme fatale performance.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd3f6f6ac8190abff7b8b6ff3c023 |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbb123148190bca17d1b70fe5245 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:49 p.m.