Triple
T14427218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gang nach Canossa |
E357726
|
entity |
| Predicate | hasOriginYear |
P9428
|
FINISHED |
| Object | 1077 |
—
|
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: 1077 | Statement: [Gang nach Canossa, hasOriginYear, 1077]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginYear Context triple: [Gang nach Canossa, hasOriginYear, 1077]
-
A.
originYear
chosen
Indicates the year in which something first originated, was created, or began.
-
B.
hasHistoricalOriginInYear
Indicates that something first originated, began, or came into existence in a specified calendar year.
-
C.
workOriginYear
Indicates the year in which a work (such as a creative, scholarly, or artistic piece) was originally created or first produced.
-
D.
hasFirstEditionYear
Indicates the year in which the first edition of an item (such as a work, book, or publication) was originally released or published.
-
E.
derivationYear
Indicates the year in which something was derived, produced, or generated from a source.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de911398f08190be85bc0a8bef6b1b |
completed | April 14, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.