Triple
T29940728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chilean universities |
E760488
|
entity |
| Predicate | someAreMemberOf |
P151560
|
FINISHED |
| Object | Chilean Traditional Universities |
—
|
NE NERFINISHED |
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: Chilean Traditional Universities | Statement: [Chilean universities, someAreMemberOf, Chilean Traditional Universities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: someAreMemberOf Context triple: [Chilean universities, someAreMemberOf, Chilean Traditional Universities]
-
A.
includedMembersOf
chosen
Indicates that certain members or elements are contained within, or form part of, a specified group or collection.
-
B.
membershipConsistsOf
Indicates that a membership is composed of, or includes, specific member entities as its constituents.
-
C.
impliesMembershipIn
Indicates that one entity logically entails or asserts that another entity belongs to a particular group, set, or category.
-
D.
hasMembersWith
Indicates that a group or collection includes one or more specific members that satisfy a given condition or characteristic.
-
E.
membershipIn
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f678066d24819099ae7947cfb58743 |
completed | May 2, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:22 p.m.