Triple
T329514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nelson-Atkins Museum of Art |
E6593
|
entity |
| Predicate | BlochBuildingOpeningYear |
P2467
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Nelson-Atkins Museum of Art, BlochBuildingOpeningYear, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BlochBuildingOpeningYear Context triple: [Nelson-Atkins Museum of Art, BlochBuildingOpeningYear, 2007]
-
A.
memorialOpeningDate
Indicates the calendar date on which a memorial was formally opened or inaugurated.
-
B.
officialOpeningYear
chosen
Indicates the calendar year in which something was formally opened or inaugurated for official use.
-
C.
observationDeckOpeningDate
Indicates the date on which an observation deck was first opened to the public.
-
D.
architectOfMainBuilding
Indicates that one entity is the architect who designed the main building associated with another entity.
-
E.
mainBuildingName
Indicates the name that is designated as the primary or main building associated with an entity.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eaaeb64881909c7ab9bca3378e2b |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94aab1c8190b8654708c87eeb91 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.