Triple
T32277657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Iranians |
E824597
|
entity |
| Predicate | notableContributions |
P11898
|
FINISHED |
| Object | academia in the United Kingdom |
—
|
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: academia in the United Kingdom | Statement: [British Iranians, notableContributions, academia in the United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableContributions Context triple: [British Iranians, notableContributions, academia in the United Kingdom]
-
A.
notableContribution
Indicates that an entity has made a significant, recognized contribution to another entity, field, work, or endeavor.
-
B.
notableContributionField
chosen
Indicates the field or domain in which an entity has made a significant or noteworthy contribution.
-
C.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
D.
notableImpactOn
Indicates that one entity has had a significant, recognizable, or influential effect on another entity.
-
E.
notableWorkConductedBy
Indicates that a particular notable work (such as a project, study, or creation) was carried out or executed by a specific agent or entity.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:43 a.m.