Triple
T12722167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Ingolstadt |
E304011
|
entity |
| Predicate | relocationDateToMunich |
P25368
|
FINISHED |
| Object | 1826 |
—
|
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: 1826 | Statement: [University of Ingolstadt, relocationDateToMunich, 1826]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relocationDateToMunich Context triple: [University of Ingolstadt, relocationDateToMunich, 1826]
-
A.
relocatedToMunichIn
chosen
Indicates that an entity moved its location to Munich in a specified year or time period.
-
B.
movedSeatToLeipzigIn
Indicates that an entity relocated its seat or main base to Leipzig in a specified year or time period.
-
C.
relocatedWithin
Indicates that an entity has moved from one location to another while remaining within the same broader area or jurisdiction.
-
D.
relocatedTo
Indicates that an entity has moved or been transferred from its previous location to a new specified location.
-
E.
relocatedWithinCity
Indicates that an entity moved from one location to another within the same city.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:24 p.m.