Triple
T6906439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manne Siegbahn Institute |
E159823
|
entity |
| Predicate | hasNotableTypeOfActivity |
P20949
|
FINISHED |
| Object | basic research |
—
|
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: basic research | Statement: [Manne Siegbahn Institute, hasNotableTypeOfActivity, basic research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableTypeOfActivity Context triple: [Manne Siegbahn Institute, hasNotableTypeOfActivity, basic research]
-
A.
hasActivityType
chosen
Indicates the specific kind or category of activity associated with an entity or event.
-
B.
hasSignificantActivity
Indicates that an entity exhibits a notable level or intensity of activity, performance, or operation relative to a defined threshold or context.
-
C.
hasActivityIn
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
-
D.
hasPopularActivity
Indicates that an entity is associated with an activity that is widely favored, frequently engaged in, or well-liked by many people.
-
E.
hasAcademicActivityType
Indicates that an academic activity is classified as belonging to a specific type or category of academic work.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d98c3ab08190a1830c45578056ac |
completed | March 27, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:25 p.m.