Triple
T1115276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin Grammy Award |
E11085
|
entity |
| Predicate | modeOfRecognition |
P987
|
FINISHED |
| Object | recording industry awards |
—
|
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: recording industry awards | Statement: [Latin Grammy Award, modeOfRecognition, recording industry awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfRecognition Context triple: [Latin Grammy Award, modeOfRecognition, recording industry awards]
-
A.
formOfRecognition
chosen
Indicates a relationship where one entity serves as an official acknowledgment, honor, or validation granted to another entity.
-
B.
recognitionStatus
Indicates the current state or outcome of acknowledging, validating, or officially accepting something or someone.
-
C.
recognizedRight
Indicates that an agent formally acknowledges and accepts that another party possesses a specific right or entitlement.
-
D.
canRecognize
Indicates that one entity has the ability to identify or distinguish another entity based on its features or characteristics.
-
E.
conditionForRecognition
Indicates that one entity specifies the requirement or circumstance under which another entity is acknowledged, accepted, or officially recognized.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.