Triple
T1154980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludwig Maximilian University of Munich |
E23761
|
entity |
| Predicate | relocatedToMunichIn |
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: [Ludwig Maximilian University of Munich, relocatedToMunichIn, 1826]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relocatedToMunichIn Context triple: [Ludwig Maximilian University of Munich, relocatedToMunichIn, 1826]
-
A.
relocatedTo
Indicates that an entity has moved or been transferred from its previous location to a new specified location.
-
B.
relocated
Indicates that an entity has moved or been moved from one location or position to another.
-
C.
relocatedWithinCity
Indicates that an entity moved from one location to another within the same city.
-
D.
locatedInOldCity
Indicates that an entity is situated within the boundaries of an old or historic part of a city.
-
E.
relocatedFrom
Indicates that an entity has moved or been transferred away from a specified original location.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc8fbb548190865b1bf019f2bde4 |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb50d19c81908a98dbbb04a8906f |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bc47fce48190825d3a877251f789 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:44 p.m.