Triple
T1515029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centre Pompidou-Metz |
E32099
|
entity |
| Predicate | exhibitionSpaceArea |
P9481
|
FINISHED |
| Object | approximately 5000 square meters |
—
|
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 5000 square meters | Statement: [Centre Pompidou-Metz, exhibitionSpaceArea, approximately 5000 square meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibitionSpaceArea Context triple: [Centre Pompidou-Metz, exhibitionSpaceArea, approximately 5000 square meters]
-
A.
exhibitionSpaceType
Indicates the specific kind or category of space used to display or present exhibitions.
-
B.
hasExhibitionArea
chosen
Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
-
C.
gallerySpace
Indicates that one entity serves as a gallery or exhibition space for displaying the other entity.
-
D.
exhibition
Indicates that an entity is organizing, hosting, or serving as a public display or presentation of another entity (such as artworks, objects, or information).
-
E.
numberOfExhibits
Indicates the total count of exhibits associated with a given entity or context.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9396e16408190b5e7b0ac43376d81 |
completed | March 5, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69a907aa67cc81909f00135365447399 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.