Triple
T29586518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book III: The Teaching Function of the Church |
E754036
|
entity |
| Predicate | hasCanonicalNumberRange |
P21315
|
FINISHED |
| Object | canons 747–833 |
—
|
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: canons 747–833 | Statement: [Book III: The Teaching Function of the Church, hasCanonicalNumberRange, canons 747–833]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalNumberRange Context triple: [Book III: The Teaching Function of the Church, hasCanonicalNumberRange, canons 747–833]
-
A.
hasCanonicalNumber
chosen
Indicates that an entity is associated with its officially recognized or standard reference number.
-
B.
hasRange
Indicates that a property or relation is constrained to take its values from a specified class, type, or value set.
-
C.
hasRangeCategory
Indicates that a property or measurement falls within a specified category or interval of possible values.
-
D.
hasRangeNotation
Indicates that a value, property, or parameter is expressed using a range-style notation (e.g., lower and upper bounds) rather than as a single discrete value.
-
E.
hasDayNumberRange
Indicates that something is associated with a contiguous range of day numbers between a specified minimum and maximum value.
- 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_69f0ef836ac88190bd809dc58b5ec907 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: April 28, 2026, 6:11 p.m.