Triple
T3202163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yale School of Drama |
E67074
|
entity |
| Predicate | hasSelectivity |
P10787
|
FINISHED |
| Object | highly selective |
—
|
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: highly selective | Statement: [Yale School of Drama, hasSelectivity, highly selective]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSelectivity Context triple: [Yale School of Drama, hasSelectivity, highly selective]
-
A.
isSelective
chosen
Indicates that the relationship or action involves choosing or affecting only certain specific entities or options while excluding others based on particular criteria.
-
B.
selectionCharacteristic
Indicates a distinguishing feature or criterion used to choose or differentiate one entity from others.
-
C.
hasMemberSelectionMethod
Indicates the method or criteria by which members of a group, organization, or body are chosen or selected.
-
D.
typicalNumberOfSelections
Indicates the usual or expected count of selections made in a given choice or selection process.
-
E.
selectionCriteria
Indicates the conditions or rules used to choose certain entities from a larger set.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada9b046c8819087c0a61c4f9adeb7 |
completed | March 8, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69ad9e078f7c8190813d9fcb4f5071fb |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.