Triple
T31079535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attic oratory |
E792061
|
entity |
| Predicate | hasCanonicalGroup |
P134597
|
FINISHED |
| Object | Ten Attic orators |
—
|
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: Ten Attic orators | Statement: [Attic oratory, hasCanonicalGroup, Ten Attic orators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalGroup Context triple: [Attic oratory, hasCanonicalGroup, Ten Attic orators]
-
A.
hasCanonicalCategory
Indicates that something is associated with its standard or officially recognized category within a classification system.
-
B.
hasCanonicalAssociation
Indicates that one entity is formally recognized as the standard or authoritative counterpart associated with another entity.
-
C.
hasCanonicalRepresentation
Indicates that one entity is the standard or authoritative form in which another entity is represented.
-
D.
hasCanonicalBundle
Indicates that an entity is associated with or possesses a designated canonical bundle, typically representing a standard or primary collection of related items or resources.
-
E.
hasRepresentativeGroup
chosen
Indicates that an entity is associated with, or formally represented by, a specific group acting on its behalf.
- 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_69f224ccdbbc81909b0cdb4cc2d70c7a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
Created at: April 29, 2026, 9:02 p.m.