Triple
T22376166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Hispanic Recognition Program |
E553155
|
entity |
| Predicate | recognitionDocument |
P74155
|
FINISHED |
| Object | award certificate |
—
|
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: award certificate | Statement: [National Hispanic Recognition Program, recognitionDocument, award certificate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognitionDocument Context triple: [National Hispanic Recognition Program, recognitionDocument, award certificate]
-
A.
recognizesDocument
Indicates that one entity acknowledges the validity or authenticity of a document associated with another entity.
-
B.
formOfRecognition
Indicates a relationship where one entity serves as an official acknowledgment, honor, or validation granted to another entity.
-
C.
legalRecognition
Indicates that an authority formally acknowledges the validity, status, or rights associated with an entity, relationship, or action under the law.
-
D.
confirmationDocument
chosen
Indicates that there exists a document serving as formal confirmation or verification of an action, event, or agreement between entities.
-
E.
recognizesText
Indicates that one entity detects and correctly identifies written or printed text present in or associated with another 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158285d208190bc7d05d315267995 |
completed | April 29, 2026, 1 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.