Triple
T14792182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Canyon Skywalk |
E347682
|
entity |
| Predicate | loadCapacity |
P14460
|
FINISHED |
| Object | about 822 people |
—
|
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 822 people | Statement: [Grand Canyon Skywalk, loadCapacity, about 822 people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loadCapacity Context triple: [Grand Canyon Skywalk, loadCapacity, about 822 people]
-
A.
totalCapacity
Indicates the maximum amount or volume that something can hold or accommodate in total.
-
B.
launcherCapacity
Indicates the maximum number or size of items that a launcher is designed to hold or deploy.
-
C.
maximumCapacity
chosen
Indicates the greatest allowable or designed amount of something that an entity can hold, contain, or handle.
-
D.
autoloaderCapacity
Indicates the maximum quantity or volume that an autoloader can hold or process at one time.
-
E.
ramCapacity
Indicates the amount of system memory (RAM) that an entity possesses or supports.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5d134c819080ee788b2e34163a |
completed | April 14, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.