Triple
T11201356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dee Valley |
E265046
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Horseshoe Falls |
E616265
|
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: Horseshoe Falls | Statement: [Dee Valley, hasAttraction, Horseshoe Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horseshoe Falls Context triple: [Dee Valley, hasAttraction, Horseshoe Falls]
-
A.
Horseshoe Falls
Horseshoe Falls is a distinct curved segment of Victoria Falls known for its dramatic, horseshoe-shaped curtain of water.
-
B.
Horseshoe Falls
Horseshoe Falls is the largest and most famous of the three waterfalls that collectively form Niagara Falls, straddling the border between Canada and the United States.
-
C.
Horseshoe Falls
chosen
Horseshoe Falls is a scenic, horseshoe-shaped waterfall and popular natural attraction near the town of Sabie in Mpumalanga, South Africa.
-
D.
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.
-
E.
Allagash Falls
Allagash Falls is a scenic natural waterfall and popular paddling landmark located along the remote Allagash River in northern Maine.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8c36c188190bfa4d5f8e6cbbbea |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4971d537c8190ab53a2ca18d643f3 |
completed | April 19, 2026, 8:49 a.m. |
Created at: April 8, 2026, 9:29 p.m.