Triple
T4602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Medal of Technology and Innovation |
E89
|
entity |
| Predicate | scopeOfRecipients |
P485
|
FINISHED |
| Object | individuals |
—
|
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: individuals | Statement: [National Medal of Technology and Innovation, scopeOfRecipients, individuals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scopeOfRecipients Context triple: [National Medal of Technology and Innovation, scopeOfRecipients, individuals]
-
A.
notableRecipient
Indicates that an entity has received a notable award, honor, or recognition from another entity.
-
B.
grantedTo
Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
-
C.
memberOf
Indicates that an entity belongs to, is part of, or is a constituent of a larger group, organization, or collection.
-
D.
focusPeriod
Indicates the specific time span during which attention, activity, or analysis is concentrated on something.
-
E.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
- 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_69a238d6b47881909e68288aed2fd858 |
completed | Feb. 28, 2026, 12:37 a.m. |
| NER | Named-entity recognition | batch_69a23c24b3d08190a714126292fd5479 |
completed | Feb. 28, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69a23998af288190855f0456740cbd51 |
completed | Feb. 28, 2026, 12:40 a.m. |
| PDg | Predicate description generation | batch_69a23c23fef88190ba5d6d86acd4a66f |
completed | Feb. 28, 2026, 12:51 a.m. |
Created at: Feb. 28, 2026, 12:40 a.m.