Triple
T22117860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Former Supreme Court Building |
E546586
|
entity |
| Predicate | openedAsPartOfNationalGallery |
P147051
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Former Supreme Court Building, openedAsPartOfNationalGallery, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsPartOfNationalGallery Context triple: [Former Supreme Court Building, openedAsPartOfNationalGallery, 2015]
-
A.
openedToPublicAsMuseum
Indicates that a place or building was made accessible to the general public specifically in the capacity of a museum.
-
B.
openedAsMuseumIn
Indicates that a place or building began operating as a museum in a specified year or at a specified time.
-
C.
partOfExhibition
Indicates that an entity is included as a component or item within a particular exhibition.
-
D.
openedGallery
Indicates that an entity has initiated and made accessible a gallery, such as an exhibition or collection, for viewing or use.
-
E.
exhibitedBeforeInstallationAt
Indicates that an item was publicly displayed or shown prior to being installed at a particular location or in a specific context.
- F. None of above. chosen
Provenance (4 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294fcf2c81909b610e03a0f1921f |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:31 p.m.