Triple
T4459167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cliffs of Missouri |
E98208
|
entity |
| Predicate | overlook |
P1323
|
FINISHED |
| Object | rivers |
—
|
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: rivers | Statement: [Cliffs of Missouri, overlook, rivers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overlook Context triple: [Cliffs of Missouri, overlook, rivers]
-
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.
oversee
Indicates having responsibility for supervising, directing, or managing the actions or work of another entity.
-
C.
over
Indicates that one entity is positioned higher than and extending across or above another entity, often covering or spanning it.
-
D.
neglects
Indicates a relationship where one party fails to give appropriate attention, care, or consideration to another party or responsibility.
-
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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567184f481908a2787e4ac9bb345 |
completed | March 13, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:33 p.m.