Triple
T22603988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States national cricket team |
E574906
|
entity |
| Predicate | ICCAssociateMembership |
P27891
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [United States national cricket team, ICCAssociateMembership, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ICCAssociateMembership Context triple: [United States national cricket team, ICCAssociateMembership, yes]
-
A.
clubMembership
Indicates that an entity belongs to, is enrolled in, or holds membership status within a particular club.
-
B.
confersMembershipIn
Indicates that one entity grants or bestows membership status in a group, organization, or category upon another entity.
-
C.
membershipIn
chosen
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
D.
alternativeMembership
Indicates that an entity belongs to one of several possible groups or categories that can substitute for each other as valid memberships.
-
E.
typeOfMembershipInFIFA
Indicates the specific category or level of a country's affiliation or membership status within FIFA.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626fad6881909895cc8c0af62f0d |
completed | April 29, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:51 p.m.