Triple
T24441184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horseshoe Falls |
E616265
|
entity |
| Predicate | naturalMonument |
P156143
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Horseshoe Falls, naturalMonument, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: naturalMonument Context triple: [Horseshoe Falls, naturalMonument, true]
-
A.
notablePark
Indicates that a park is notable or significant in some recognized way, such as historical, cultural, or recreational importance.
-
B.
nationalPark
Indicates that a location is designated and managed as a national park by a governing authority.
-
C.
nationalMonument
Indicates that something has been officially designated as a national monument by a country or governing authority.
-
D.
nationalKeyScenicSpot
Indicates that a location is officially designated as a nationally recognized key scenic spot or major tourist attraction.
-
E.
localNatureSite
Indicates that a location is designated as a natural site of local significance or interest.
- 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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2978bb5a0819087ef151937923b0a |
completed | April 29, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:17 a.m.