Triple
T7881292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tower Fall |
E182983
|
entity |
| Predicate | hasViewpoint |
P854
|
FINISHED |
| Object | Tower Fall overlook |
E182983
|
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: Tower Fall overlook | Statement: [Tower Fall, hasViewpoint, Tower Fall overlook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tower Fall overlook Context triple: [Tower Fall, hasViewpoint, Tower Fall overlook]
-
A.
Tower Fall
chosen
Tower Fall is a scenic waterfall in Yellowstone National Park known for its dramatic drop beside striking volcanic rock formations.
-
B.
Proxy Falls
Proxy Falls is a scenic waterfall in Oregon known for its twin cascades tumbling over moss-covered lava cliffs in the Cascade Range.
-
C.
Stationfall
Stationfall is a 1987 interactive fiction comedy-adventure game by Infocom and a sequel to the earlier title Planetfall.
-
D.
Planetfall
Planetfall is a classic 1983 interactive fiction video game by Infocom, renowned for its humorous sci-fi story and emotional impact.
-
E.
Reversing Falls
Reversing Falls is a set of powerful rapids and whirlpools near Saint John, New Brunswick, where the tidal forces of the Bay of Fundy dramatically reverse the flow of the river.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39c14a188190a225ca3c7e515b0c |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b8c812481909663119a02f6d756 |
completed | March 31, 2026, 5:28 a.m. |
Created at: March 30, 2026, 4:58 p.m.