Triple
T9697217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elephant Falls |
E234683
|
entity |
| Predicate | viewingTimeRequired |
P40755
|
FINISHED |
| Object | about 30 to 60 minutes |
—
|
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: about 30 to 60 minutes | Statement: [Elephant Falls, viewingTimeRequired, about 30 to 60 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewingTimeRequired Context triple: [Elephant Falls, viewingTimeRequired, about 30 to 60 minutes]
-
A.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
-
B.
hasViewingConditions
Indicates that one entity is associated with specific viewing conditions under which it is meant to be observed or evaluated.
-
C.
intendedDuration
chosen
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
-
D.
intendedViewingDistance
Indicates the distance at which something is meant or designed to be viewed or observed.
-
E.
intendedViewerExperience
Indicates the type or quality of experience that a piece of content is designed or expected to provide to its viewers.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d3a88788190a4235a1ab33341ec |
completed | April 1, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69cd03b641408190942464eaf174c6b5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:18 p.m.