Triple
T4194560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New College, Oxford |
E89113
|
entity |
| Predicate | hasOrganScholarships |
P54289
|
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: [New College, Oxford, hasOrganScholarships, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrganScholarships Context triple: [New College, Oxford, hasOrganScholarships, yes]
-
A.
hasScholarships
Indicates that an entity provides, offers, or is associated with one or more scholarships to another entity.
-
B.
hasBursaries
Indicates that an entity provides or is associated with bursaries (financial aid or scholarships).
-
C.
associatedScholarship
Indicates a relationship where a scholarship is linked or connected to a particular entity (such as a person, program, or institution).
-
D.
hasFinancialAid
Indicates that one entity provides or is associated with financial assistance or support to another entity.
-
E.
scholarshipType
Indicates the specific category or kind of scholarship associated with an entity.
- F. None of above. chosen
Provenance (4 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af034406348190a56c21b5c08a6828 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af01959c4881909eb1adcb3bdadbe6 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af02e4e2308190b527e3b78eb8fa71 |
completed | March 9, 2026, 5:27 p.m. |
Created at: March 9, 2026, 3:46 p.m.