Triple
T5671678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Part Two: The Celebration of the Christian Mystery |
E124991
|
entity |
| Predicate | isNumberedFromParagraph |
P37553
|
FINISHED |
| Object | 1066 |
—
|
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: 1066 | Statement: [Part Two: The Celebration of the Christian Mystery, isNumberedFromParagraph, 1066]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNumberedFromParagraph Context triple: [Part Two: The Celebration of the Christian Mystery, isNumberedFromParagraph, 1066]
-
A.
isNumbered
Indicates that an entity has been assigned a specific number or position in an ordered sequence.
-
B.
isNumberedBy
chosen
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
-
C.
isSectionNumber
Indicates that one entity is the section number identifier associated with another entity, typically within a structured document or text.
-
D.
includesNumberingRange
Indicates that one entity contains or covers a specified contiguous range of numbers associated with another entity.
-
E.
numberingType
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:43 p.m.