Triple
T21791928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muirfield |
E537990
|
entity |
| Predicate | hasMembershipPolicyChange |
P134820
|
FINISHED |
| Object | voted to admit women members in 2017 |
—
|
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: voted to admit women members in 2017 | Statement: [Muirfield, hasMembershipPolicyChange, voted to admit women members in 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMembershipPolicyChange Context triple: [Muirfield, hasMembershipPolicyChange, voted to admit women members in 2017]
-
A.
hasPolicyChange
chosen
Indicates that a change has been made to an existing policy or set of policies affecting the related entities.
-
B.
hasMemberChange
Indicates that a change has occurred in the membership of a group, organization, or collection, such as members being added, removed, or modified.
-
C.
hasPolicyStatus
Indicates that an entity is associated with a policy and specifies the current status or state of that policy.
-
D.
sawPolicyChange
Indicates that an entity observed, experienced, or became aware of a change in policy affecting it or its context.
-
E.
hasEnrollmentPolicy
Indicates that there is a specific rule or set of rules governing who may enroll in, access, or participate in something and under what conditions.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f06220bbe0819091cf3b41aa788cc3 |
completed | April 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:52 p.m.