Triple
T7221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty Early Career Development (CAREER) Program |
E142
|
entity |
| Predicate | selectionBasedOn |
P136
|
FINISHED |
| Object | intellectual merit |
—
|
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: intellectual merit | Statement: [Faculty Early Career Development (CAREER) Program, selectionBasedOn, intellectual merit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionBasedOn Context triple: [Faculty Early Career Development (CAREER) Program, selectionBasedOn, intellectual merit]
-
A.
selectionMadeBy
Indicates that a particular choice or selection was performed or decided by a specific agent or entity.
-
B.
selectionCriteria
chosen
Indicates the conditions or rules used to choose certain entities from a larger set.
-
C.
selectionProcess
Indicates the procedure or set of steps by which one or more options are evaluated and chosen from a larger set of candidates.
-
D.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
E.
eligibility
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a241a55ac081909e95b71c97db8140 |
completed | Feb. 28, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69a23fe1cf38819080ea56c40bf2632e |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.