Triple
T490168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulm |
E9969
|
entity |
| Predicate | UlmUniversityEstablished |
P4025
|
FINISHED |
| Object | 1967 |
—
|
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: 1967 | Statement: [Ulm, UlmUniversityEstablished, 1967]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UlmUniversityEstablished Context triple: [Ulm, UlmUniversityEstablished, 1967]
-
A.
isAmongOldestUniversitiesIn
Indicates that an educational institution ranks among the oldest universities within a specified geographic or organizational context.
-
B.
foundedAsCampus
Indicates that an institution or organization was originally established as a campus or branch of another entity.
-
C.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
D.
foundedOn
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
-
E.
foundedAt
chosen
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0e22a308190b04d12974fd08a38 |
completed | Feb. 28, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69a2edf63fbc819090ea6ca11f39116a |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.