Triple
T14792184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Canyon Skywalk |
E347682
|
entity |
| Predicate | numberOfGlassLayers |
P35489
|
FINISHED |
| Object | multiple laminated layers |
—
|
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 laminated layers | Statement: [Grand Canyon Skywalk, numberOfGlassLayers, multiple laminated layers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGlassLayers Context triple: [Grand Canyon Skywalk, numberOfGlassLayers, multiple laminated layers]
-
A.
numberOfGlassPanes
chosen
Indicates the quantity of individual glass panes associated with or contained in an object or structure.
-
B.
hasGlassArea
Indicates that an object or structure possesses a surface or region made of glass.
-
C.
numberOfStainedGlassPanels
Indicates the count of stained glass panels associated with a given entity or object.
-
D.
glassType
Indicates the specific kind or category of glass associated with or used by an entity.
-
E.
glazingType
Indicates the type or configuration of glazing (such as single, double, or special coatings) used in or applied to an element.
- 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.