Triple
T31325602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balthasar Russow |
E798876
|
entity |
| Predicate | chroniclePublicationYear |
P192652
|
FINISHED |
| Object | 1578 |
—
|
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: 1578 | Statement: [Balthasar Russow, chroniclePublicationYear, 1578]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chroniclePublicationYear Context triple: [Balthasar Russow, chroniclePublicationYear, 1578]
-
A.
chronicledBy
Indicates that something is documented, recorded, or described in detail by a particular source, author, or record.
-
B.
chroniclesPeriodFrom
Indicates that something documents or records events starting from a specified point in time or historical period.
-
C.
chronologyNextPublicationDate
Indicates that one publication directly follows another in time, specifying the date on which the subsequent publication occurs.
-
D.
lastPublicationYear
Indicates the year in which an entity’s most recent publication was released.
-
E.
republicationYear
Indicates the year in which a work is published again after its original publication.
- 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_69f224e3238c8190b2291f50ea4962cd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
| PDg | Predicate description generation | batch_69fd231bdd108190900369e07c854e95 |
completed | May 7, 2026, 11:41 p.m. |
Created at: April 29, 2026, 9:15 p.m.