Triple
T340115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andreas Acrivos Dissertation Award in Fluid Dynamics |
E6815
|
entity |
| Predicate | eligibleCareerStage |
P84
|
FINISHED |
| Object | early-career researcher |
—
|
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: early-career researcher | Statement: [Andreas Acrivos Dissertation Award in Fluid Dynamics, eligibleCareerStage, early-career researcher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibleCareerStage Context triple: [Andreas Acrivos Dissertation Award in Fluid Dynamics, eligibleCareerStage, early-career researcher]
-
A.
isStageInCareerOf
Indicates that one entity represents a particular phase or stage within the professional career of another entity.
-
B.
stageOf
Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
-
C.
eligibilityLevel
Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
-
D.
eligibility
chosen
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
-
E.
stages
Indicates that one entity organizes, presents, or sets up another entity (such as an event, performance, or situation) to take place or be displayed.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eae4fcc08190bd4c2bf0149c8b50 |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e95067e88190a914a1c1d0283dfc |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.