Triple
T11296372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Award |
E267460
|
entity |
| Predicate | typicalRecognitionFormat |
P98372
|
FINISHED |
| Object | pin |
—
|
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: pin | Statement: [Silver Award, typicalRecognitionFormat, pin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRecognitionFormat Context triple: [Silver Award, typicalRecognitionFormat, pin]
-
A.
formOfRecognition
Indicates a relationship where one entity serves as an official acknowledgment, honor, or validation granted to another entity.
-
B.
typicalPictureFormat
Indicates the standard or most commonly used picture format associated with an entity (such as a device, medium, or context).
-
C.
canRecognize
Indicates that one entity has the ability to identify or distinguish another entity based on its features or characteristics.
-
D.
recognizesDocument
Indicates that one entity acknowledges the validity or authenticity of a document associated with another entity.
-
E.
operatesInFormat
Indicates that an entity functions, performs its role, or is carried out using a specified format.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a262e08190a7c1eacbc6019496 |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787a6ca2c8190afdc24b61ccd3f8a |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796d049e88190a9fd7508f477f541 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:32 p.m.