Triple
T2606902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wartburg Castle |
E58680
|
entity |
| Predicate | LutherStayedUntil |
P41209
|
FINISHED |
| Object | 1522 |
—
|
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: 1522 | Statement: [Wartburg Castle, LutherStayedUntil, 1522]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LutherStayedUntil Context triple: [Wartburg Castle, LutherStayedUntil, 1522]
-
A.
papalResidenceUntil
Indicates that a specified location served as the official residence of the pope up to (and including) a given end date.
-
B.
reignAsHolyRomanEmperorEnd
Indicates the time or event at which an entity’s tenure as Holy Roman Emperor comes to an end.
-
C.
reformationPlace
Indicates the place where an entity undergoes reformation, restructuring, or significant organizational change.
-
D.
yearLateranTreaty
Indicates the specific year in which the Lateran Treaty was concluded or came into effect.
-
E.
endTimeAsElectorOfBavaria
Indicates the point in time at which an individual’s role or tenure as Elector of Bavaria comes to an end.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd80ab7248190ba06ba14fe4c5638 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8dd05c48190b4f90031642c4091 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:49 p.m.