Triple
T548480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Section X |
E12783
|
entity |
| Predicate | hasEditionCycle |
P11407
|
FINISHED |
| Object | periodically revised |
—
|
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: periodically revised | Statement: [Section X, hasEditionCycle, periodically revised]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEditionCycle Context triple: [Section X, hasEditionCycle, periodically revised]
-
A.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
B.
editionNumber
Indicates the specific sequential number assigned to an edition of a work within its series of published versions.
-
C.
evaluationCycle
chosen
Indicates the recurring period or sequence in which evaluations or assessments are conducted and reviewed.
-
D.
hasModernEditions
Indicates that an original work or text has one or more updated or contemporary published editions.
-
E.
hasLiturgicalCycle
Indicates that one entity follows, observes, or is structured according to a particular liturgical cycle associated with 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49900895c819092a131c185a758bf |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494b957988190bc269e372df2f0b2 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.