Triple
T36491682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Relation Networks for few-shot learning |
E899065
|
entity |
| Predicate | addressesTask |
P89561
|
FINISHED |
| Object | few-shot classification |
—
|
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: few-shot classification | Statement: [Relation Networks for few-shot learning, addressesTask, few-shot classification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addressesTask Context triple: [Relation Networks for few-shot learning, addressesTask, few-shot classification]
-
A.
addresses
Indicates that one entity directs speech, communication, or written correspondence specifically toward another entity.
-
B.
addressSystem
Indicates a relationship where an entity uses or is organized according to a particular addressing scheme or system (such as postal, IP, or other structured address formats).
-
C.
addressesChallenge
chosen
Indicates that one entity takes action to confront, deal with, or resolve a specific challenge associated with another entity or situation.
-
D.
addressesWork
Indicates that one entity directs or delivers work-related communication or correspondence to another entity.
-
E.
addressing
Indicates that one entity is directing speech, communication, or attention specifically toward 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.