Triple
T10869482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zwingli’s Sixty-seven Articles |
E256612
|
entity |
| Predicate | yearOfFirstPublicDisputation |
P48219
|
FINISHED |
| Object | 1523 |
—
|
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: 1523 | Statement: [Zwingli’s Sixty-seven Articles, yearOfFirstPublicDisputation, 1523]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfFirstPublicDisputation Context triple: [Zwingli’s Sixty-seven Articles, yearOfFirstPublicDisputation, 1523]
-
A.
doctoralDegreeYear
Indicates the calendar year in which an entity received or completed their doctoral degree.
-
B.
doctoralThesisPublicationYear
Indicates the year in which a person's doctoral thesis was formally published.
-
C.
firstPublishedInWorkYear
Indicates the year in which a work was first published.
-
D.
yearOfPublicDisclosure
chosen
Indicates the calendar year in which information, an invention, or other subject matter was first publicly disclosed.
-
E.
firstStandardPublicationYear
Indicates the year in which an entity’s work was first formally published according to a recognized standard or official publication record.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75170665881909944f92c2cdbe7e6 |
completed | April 9, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.