Triple
T437500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Falls of the Potomac |
E10041
|
entity |
| Predicate | hasOverlooks |
P1323
|
FINISHED |
| Object | multiple river and falls viewing platforms |
—
|
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: multiple river and falls viewing platforms | Statement: [Great Falls of the Potomac, hasOverlooks, multiple river and falls viewing platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOverlooks Context triple: [Great Falls of the Potomac, hasOverlooks, multiple river and falls viewing platforms]
-
A.
overlooks
chosen
Indicates that one entity has a view toward or looks out over another entity, typically from a higher or adjacent position.
-
B.
hasPerception
Indicates that one entity is aware of, senses, or recognizes another entity or phenomenon.
-
C.
hasScenicViewOf
Indicates that one entity offers a visually appealing or picturesque view of another entity.
-
D.
oversightScope
Indicates the range or extent of responsibilities and activities that fall under an entity’s oversight or supervisory authority.
-
E.
overlies
Indicates that one entity is positioned directly above and covering or resting on another entity, often with partial or complete contact.
- F. None of above.
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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef26bb78819089b3b5dac0330619 |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2eddb98e081909efcf9f0a955a908 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.