Triple
T1051319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warburg Mansion |
E22703
|
entity |
| Predicate | refurbishedForMuseumUse |
P23604
|
FINISHED |
| Object | mid-20th century |
—
|
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: mid-20th century | Statement: [Warburg Mansion, refurbishedForMuseumUse, mid-20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refurbishedForMuseumUse Context triple: [Warburg Mansion, refurbishedForMuseumUse, mid-20th century]
-
A.
operatesMuseum
Indicates that one entity manages and runs the day-to-day operations of a museum.
-
B.
museumInventoryNumber
Indicates the unique catalog or inventory identifier assigned to an item within a museum’s collection.
-
C.
movedToNewExhibit
Indicates that an entity has been relocated from its previous display location to a different, newly established exhibit.
-
D.
openedToPublicAsMuseum
Indicates that a place or building was made accessible to the general public specifically in the capacity of a museum.
-
E.
openedAsMuseumIn
Indicates that a place or building began operating as a museum in a specified year or at a specified time.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b5312081909796df58fa7c1e9d |
completed | March 1, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69a4b7309cc481908ed839b0b8d75dbf |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7f2d1b081908eb2df54e91c8c1d |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:42 p.m.