Triple
T16318225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gopher Cam |
E396225
|
entity |
| Predicate | capturesView |
P63656
|
FINISHED |
| Object | cars passing directly overhead |
—
|
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: cars passing directly overhead | Statement: [Gopher Cam, capturesView, cars passing directly overhead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capturesView Context triple: [Gopher Cam, capturesView, cars passing directly overhead]
-
A.
captures
Indicates that one entity seizes, traps, or takes control of another entity, often preventing its escape or freedom.
-
B.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
C.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
-
D.
viewOver
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
E.
depictsView
chosen
Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b3e3e081908a996b3e57ca4e32 |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.