Triple
T28302439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hergé Museum |
E713743
|
entity |
| Predicate | hasGalleryCount |
P33069
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Hergé Museum, hasGalleryCount, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGalleryCount Context triple: [Hergé Museum, hasGalleryCount, 8]
-
A.
hasGallery
Indicates that one entity possesses, contains, or is associated with a gallery, such as a collection or display space.
-
B.
hasGalleryLevel
Indicates that an entity is associated with a specific gallery level or floor within a building or exhibition space.
-
C.
hasGalleryLocation
Indicates that an entity is associated with a specific gallery location where it is displayed, stored, or made accessible.
-
D.
numberOfGalleries
chosen
Indicates the total count of galleries associated with or contained by a given entity.
-
E.
galleryNumber
Indicates the specific gallery or exhibition space in which an item, such as an artwork or artifact, is located or displayed.
- 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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 11:35 p.m.