Triple
T9251721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEEE Nikola Tesla Award |
E222340
|
entity |
| Predicate | typicalAwardingOrganizationType |
P1497
|
FINISHED |
| Object | professional association |
—
|
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: professional association | Statement: [IEEE Nikola Tesla Award, typicalAwardingOrganizationType, professional association]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAwardingOrganizationType Context triple: [IEEE Nikola Tesla Award, typicalAwardingOrganizationType, professional association]
-
A.
awardingOrganization
Indicates the organization that grants, confers, or issues an award, honor, or similar recognition to a recipient.
-
B.
typicalAwardType
Indicates the usual or most common type or category of award associated with a given entity or context.
-
C.
universityOrganizationType
Indicates the specific organizational category or classification of a university (such as public, private, or other institutional type).
-
D.
hasAwardingBodyType
chosen
Indicates that an entity has an associated type or category describing the kind of organization or body that grants an award.
-
E.
awardingBodyDomain
Indicates that an entity functions as the domain or field of specialization in which an awarding body grants qualifications, certifications, or awards.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05fb1454819098f452846ca4ca61 |
completed | April 1, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4e79e48190b3200247f4624867 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:31 p.m.