Triple
T5099236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gresham Professor of Geometry |
E114940
|
entity |
| Predicate | isNonProfitActivity |
P70
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Gresham Professor of Geometry, isNonProfitActivity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonProfitActivity Context triple: [Gresham Professor of Geometry, isNonProfitActivity, true]
-
A.
isNonProfitProjectOf
Indicates that a project operates on a non-profit basis and is initiated, owned, or managed by the referenced entity.
-
B.
nonprofitStatus
chosen
Indicates that an entity operates as a nonprofit organization, typically meeting legal or regulatory criteria for nonprofit status.
-
C.
isNonProfitAward
Indicates that an award is specifically designated for or granted to nonprofit organizations or initiatives.
-
D.
hasCharitableFunction
Indicates that an entity performs or is designated to perform activities intended for charitable purposes or public benefit.
-
E.
nonprofitType
Indicates the specific category or classification of a nonprofit organization based on its legal or functional type.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7568e9c881909f114973faef6832 |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:40 p.m.