Triple
T32795864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Learjet 40 |
E838760
|
entity |
| Predicate | hasGalley |
P175127
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Learjet 40, hasGalley, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGalley Context triple: [Learjet 40, hasGalley, true]
-
A.
hasGallery
Indicates that one entity possesses, contains, or is associated with a gallery, such as a collection or display space.
-
B.
hasFrontispiece
Indicates that an item includes a frontispiece, i.e., an illustrative or decorative page placed at or near the front of a work.
-
C.
hasGalleryLevel
Indicates that an entity is associated with a specific gallery level or floor within a building or exhibition space.
-
D.
hasGalleryLocation
Indicates that an entity is associated with a specific gallery location where it is displayed, stored, or made accessible.
-
E.
hasAnthologyFormat
Indicates that an entity is presented or structured in the form of an anthology (a collection of distinct works or pieces).
- F. None of above. chosen
Provenance (4 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_69f3493c7f6881908edf2aa13631d1e0 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6ce6c76bc8190b865343d3f5810c9 |
completed | May 3, 2026, 4:26 a.m. |
Created at: May 1, 2026, 1:14 a.m.