Triple
T11294969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STPF |
E267426
|
entity |
| Predicate | roleOfFellows |
P98363
|
FINISHED |
| Object | advise on science and technology policy |
—
|
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: advise on science and technology policy | Statement: [STPF, roleOfFellows, advise on science and technology policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfFellows Context triple: [STPF, roleOfFellows, advise on science and technology policy]
-
A.
indicatesFellowshipIn
Indicates that one entity holds a fellowship position, membership, or sponsored research role within another entity (such as an institution, organization, or program).
-
B.
basisOfFellowship
Indicates the foundational reason, condition, or shared element that forms the basis for a fellowship or partnership between entities.
-
C.
campusRole
Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
-
D.
formsFellowshipOf
Indicates that one entity creates or establishes a fellowship or alliance together with another entity or group of entities.
-
E.
alumniRole
Indicates that an entity holds or held a specific role, position, or capacity as an alumnus/alumna of another entity (such as an institution or program).
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e98b149481909f432a6b9ef8bfbb |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:32 p.m.