Triple
T3591638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Association of Universities for Research in Astronomy |
E76037
|
entity |
| Predicate | hasMemberInstitutions |
P3814
|
FINISHED |
| Object | U.S. universities |
—
|
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: U.S. universities | Statement: [Association of Universities for Research in Astronomy, hasMemberInstitutions, U.S. universities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberInstitutions Context triple: [Association of Universities for Research in Astronomy, hasMemberInstitutions, U.S. universities]
-
A.
hasNumberOfMemberInstitutions
Indicates the quantitative count of member institutions associated with a given entity.
-
B.
memberInstitutionsOffer
Indicates that the member institutions provide or make available a particular service, program, or resource.
-
C.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
-
D.
hasFlagshipInstitution
Indicates that one entity serves as the primary or leading institution associated with another entity, such as an organization, system, or network.
-
E.
includesInstitution
chosen
Indicates that one entity contains, encompasses, or has as a member a particular institution.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc15a546481909c72dac80d65e1fb |
completed | March 8, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69adb839b4e08190b1c0d611cccb11ae |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.