Triple
T10156325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmer Scholar |
E233784
|
entity |
| Predicate | isMeritBased |
P43396
|
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: [Palmer Scholar, isMeritBased, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMeritBased Context triple: [Palmer Scholar, isMeritBased, true]
-
A.
hasSpecialMerit
Indicates that an entity possesses exceptional or noteworthy qualities that distinguish it from others in a positive way.
-
B.
admissionsBasedOn
chosen
Indicates that acceptance or entry decisions are determined according to specified criteria, factors, or conditions.
-
C.
scholarshipEquivalency
Indicates that one scholarship is considered equal in value, coverage, or benefit to another scholarship or financial award.
-
D.
isInterviewBased
Indicates that something (such as a study, article, or decision) is based primarily on information gathered through interviews.
-
E.
isTuitionFreeFor
Indicates that one entity does not require another entity to pay tuition fees for access, enrollment, or participation.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec3a5e7c819098b2f9ccbde7cf94 |
completed | April 2, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:09 p.m.