Triple
T30923431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegfried II of Westerburg |
E787789
|
entity |
| Predicate | startTimeOfPositionHeld_ArchbishopOfCologne |
P126781
|
FINISHED |
| Object | 1275 |
—
|
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: 1275 | Statement: [Siegfried II of Westerburg, startTimeOfPositionHeld_ArchbishopOfCologne, 1275]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfPositionHeld_ArchbishopOfCologne Context triple: [Siegfried II of Westerburg, startTimeOfPositionHeld_ArchbishopOfCologne, 1275]
-
A.
endTimeOfPositionHeld_ArchbishopOfCologne
Indicates the date and time when an individual's tenure in the position of Archbishop of Cologne comes to an end.
-
B.
startTimeAsArchbishopOfCologne
chosen
Indicates the date and time when an individual began serving in the role of Archbishop of Cologne.
-
C.
startTimeOfPositionArchbishopElectorOfMainz
Indicates the point in time when an individual begins holding the position of Archbishop-Elector of Mainz.
-
D.
startTimeAsArchbishopOfReims
Indicates the date and time when an individual began their tenure serving as Archbishop of Reims.
-
E.
currentArchbishopStartYear
Indicates the calendar year in which the current archbishop began serving in that role.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
Created at: April 29, 2026, 8:51 p.m.