Triple
T555301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gospels |
E11929
|
entity |
| Predicate | numberOfCanonicalGospels |
P16325
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Gospels, numberOfCanonicalGospels, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCanonicalGospels Context triple: [Gospels, numberOfCanonicalGospels, 4]
-
A.
bookNumberInNewTestament
Indicates the numerical position a specific book occupies within the sequence of books in the New Testament.
-
B.
positionAmongGospels
Indicates the numerical order or placement of a given gospel within the sequence of all gospels.
-
C.
excludesDeuterocanonicalBooksIn
Indicates that a canon, edition, or tradition omits the Deuterocanonical books from a specified scriptural collection or corpus.
-
D.
numberOfCommandments
Indicates the total count of commandments associated with a given subject.
-
E.
chronologicalOrderInGospels
Indicates that the events or elements are arranged in the sequence in which they occur within the Gospel narratives.
- F. None of above. chosen
Provenance (4 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991dd7008190a6c1bc8bc832456d |
completed | March 1, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69a494bc1f8c8190904356f3a8e801de |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985952a481908b918350ececf484 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.