Triple
T21655612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Trier |
E534456
|
entity |
| Predicate | originalFoundationDate |
P9526
|
FINISHED |
| Object | 1473 |
—
|
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: 1473 | Statement: [University of Trier, originalFoundationDate, 1473]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalFoundationDate Context triple: [University of Trier, originalFoundationDate, 1473]
-
A.
foundationFoundedIn
Indicates that a foundation was established or came into existence in a specific year or time period.
-
B.
foundedOn
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
-
C.
foundedAt
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
-
D.
foundedBefore
Indicates that one entity was established or created at an earlier time than the other entity.
-
E.
reFoundationDate
chosen
Indicates the date on which an entity was re-established or founded again after a previous foundation.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59185b208190a2cf4b8f54a2c231 |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.