Triple
T4270391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prior Analytics |
E96927
|
entity |
| Predicate | hasCommentaryTradition |
P21585
|
FINISHED |
| Object | late antique commentators |
—
|
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: late antique commentators | Statement: [Prior Analytics, hasCommentaryTradition, late antique commentators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommentaryTradition Context triple: [Prior Analytics, hasCommentaryTradition, late antique commentators]
-
A.
hasCommentaryOn
Indicates that one entity provides commentary, explanation, or evaluative remarks about another entity.
-
B.
commentarialTraditionOn
chosen
Indicates that a particular commentarial tradition is directed toward, or focused on interpreting, a specific text, idea, or subject.
-
C.
hasSourceTradition
Indicates that something originates from, or is derived within, a particular cultural, religious, intellectual, or historical tradition.
-
D.
hasTraditionalInterpretation
Indicates that something is associated with or understood according to a long-established or customary interpretation.
-
E.
hasRichOralTradition
Indicates that an entity is associated with a longstanding, culturally significant body of stories, histories, or knowledge transmitted primarily through spoken word rather than written texts.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ffb85a88190af000b94673bff59 |
completed | March 12, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69b347faa45481908c19c29fb906dc92 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.