Triple
T7591688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Christian Andersen Museum |
E179748
|
entity |
| Predicate | hasMultimediaInstallations |
P5823
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Hans Christian Andersen Museum, hasMultimediaInstallations, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultimediaInstallations Context triple: [Hans Christian Andersen Museum, hasMultimediaInstallations, yes]
-
A.
hasArtInstallation
Indicates that an entity features or contains an art installation as part of its space or composition.
-
B.
hasInteractiveExhibits
chosen
Indicates that something contains exhibits designed for active participation or engagement by the audience.
-
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.
hasMediaFacilities
Indicates that an entity possesses or provides access to media-related infrastructure or equipment (such as studios, recording, broadcasting, or production facilities).
-
E.
hasCommonMedia
Indicates that two entities share at least one media item (such as an image, video, or audio file) in common.
- 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_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9b746ac8190b255afdfb9635f72 |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e04c2c8190a889d928515d9b8e |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:53 p.m.