Triple
T22040053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reddit Awards |
E544312
|
entity |
| Predicate | technicalForm |
P146362
|
FINISHED |
| Object | metadata attached to posts |
—
|
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: metadata attached to posts | Statement: [Reddit Awards, technicalForm, metadata attached to posts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: technicalForm Context triple: [Reddit Awards, technicalForm, metadata attached to posts]
-
A.
typicalForm
Indicates that one entity represents the standard, characteristic, or most common form or shape in which another entity typically appears or is realized.
-
B.
describesForm
Indicates that one entity provides a description, specification, or characterization of the form or structure of another entity.
-
C.
cargoForm
Indicates that one entity serves as the physical or structural form in which another entity’s cargo or contents are contained or transported.
-
D.
formTreatment
Indicates that one entity creates, establishes, or defines a particular treatment or therapeutic regimen for another entity.
-
E.
implementationForm
Indicates the specific manner, format, or method by which something is implemented or realized in practice.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f532b08190be80c5af039b4c29 |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:25 p.m.