Triple
T22138746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss America Organization |
E547099
|
entity |
| Predicate | hasScholarshipComponent |
P11489
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Miss America Organization, hasScholarshipComponent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScholarshipComponent Context triple: [Miss America Organization, hasScholarshipComponent, true]
-
A.
hasScholarshipOn
Indicates that one entity provides or holds a scholarship related to another entity, such as a person receiving financial support for study at an institution or in a specific field.
-
B.
hasScholarships
chosen
Indicates that an entity provides, offers, or is associated with one or more scholarships to another entity.
-
C.
hasOrganScholarships
Indicates that an entity offers or provides scholarships specifically related to organ study or performance.
-
D.
hasBursaries
Indicates that an entity provides or is associated with bursaries (financial aid or scholarships).
-
E.
hasFinancialAid
Indicates that one entity provides or is associated with financial assistance or support to another entity.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129bc7ae881909798c64a4c19adad |
completed | April 28, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:32 p.m.