Triple
T211548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pastor bonus |
E4729
|
entity |
| Predicate | hasCanonicalNumbering |
P3378
|
FINISHED |
| Object | articles |
—
|
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: articles | Statement: [Pastor bonus, hasCanonicalNumbering, articles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalNumbering Context triple: [Pastor bonus, hasCanonicalNumbering, articles]
-
A.
numberingType
chosen
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
B.
hasNumberSystem
Indicates that an entity possesses or uses a particular system for representing and organizing numbers.
-
C.
hasNumberCategory
Indicates that an entity is associated with a specific numerical classification or type.
-
D.
hasCanonicalReference
Indicates that one entity serves as the authoritative or standard reference source for another entity.
-
E.
hasTotalNumber
Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b4f71b88190866c8262922ae204 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:52 a.m.