Triple
T13344657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum of Science |
E317917
|
entity |
| Predicate | foundedAsMuseumOfScience |
P12641
|
FINISHED |
| Object | 1951 |
—
|
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: 1951 | Statement: [Museum of Science, foundedAsMuseumOfScience, 1951]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsMuseumOfScience Context triple: [Museum of Science, foundedAsMuseumOfScience, 1951]
-
A.
foundedAsMuseumBy
Indicates that an entity was established or created as a museum by a specific person or organization.
-
B.
hasScienceCenter
Indicates that an entity possesses, hosts, or includes a science center as one of its facilities or components.
-
C.
openedToPublicAsMuseum
Indicates that a place or building was made accessible to the general public specifically in the capacity of a museum.
-
D.
openedAsMuseumIn
chosen
Indicates that a place or building began operating as a museum in a specified year or at a specified time.
-
E.
isLargestMultipurposeMuseumIn
Indicates that a museum is the largest multipurpose museum within a specified geographic area or location.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8839b48190b164414b418e756c |
completed | April 11, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:31 p.m.