Triple
T22979253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messe Wien Exhibition & Congress Center |
E571413
|
entity |
| Predicate | totalExhibitionArea |
P9481
|
FINISHED |
| Object | approximately 55,000 square metres |
—
|
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: approximately 55,000 square metres | Statement: [Messe Wien Exhibition & Congress Center, totalExhibitionArea, approximately 55,000 square metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalExhibitionArea Context triple: [Messe Wien Exhibition & Congress Center, totalExhibitionArea, approximately 55,000 square metres]
-
A.
largestExhibitHallArea
Indicates that the relationship specifies the maximum floor area among all exhibit halls associated with a given entity.
-
B.
hasExhibitionArea
chosen
Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
-
C.
exhibitionSpaceType
Indicates the specific kind or category of space used to display or present exhibitions.
-
D.
fieldOfExhibition
Indicates the domain or area in which something is publicly presented, displayed, or exhibited.
-
E.
exhibitionScale
Indicates the relative size, scope, or extent of an exhibition in which an entity is presented or involved.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18293f830819095cca91af7abd742 |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:49 p.m.