Triple
T328265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven F. Udvar-Hazy Center |
E6567
|
entity |
| Predicate | hasExhibitionTheme |
P5290
|
FINISHED |
| Object | history of aviation |
—
|
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: history of aviation | Statement: [Steven F. Udvar-Hazy Center, hasExhibitionTheme, history of aviation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExhibitionTheme Context triple: [Steven F. Udvar-Hazy Center, hasExhibitionTheme, history of aviation]
-
A.
hasExhibition
Indicates that an entity organizes, hosts, or presents a particular exhibition.
-
B.
exhibitTheme
chosen
Indicates that something (such as a work, event, or presentation) presents, embodies, or is organized around a particular theme.
-
C.
hasExhibits
Indicates that an entity (such as a museum, gallery, or event) displays or presents certain items, artworks, or objects as part of its collection or show.
-
D.
hasExhibitionArea
Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
-
E.
exhibitionType
Indicates the specific category or kind of exhibition associated with an entity (e.g., art show, trade fair, scientific exhibit).
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea98fa2c8190a5b44f4a26543a17 |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94aab1c8190b8654708c87eeb91 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.