Triple
T6745096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catholic University of Eichstätt-Ingolstadt |
E154190
|
entity |
| Predicate | stateRecognition |
P21446
|
FINISHED |
| Object | state-recognized |
—
|
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: state-recognized | Statement: [Catholic University of Eichstätt-Ingolstadt, stateRecognition, state-recognized]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateRecognition Context triple: [Catholic University of Eichstätt-Ingolstadt, stateRecognition, state-recognized]
-
A.
recognizedNewState
Indicates that an entity has formally acknowledged or accepted the existence or authority of a newly established state or political entity.
-
B.
recognitionStatus
chosen
Indicates the current state or outcome of acknowledging, validating, or officially accepting something or someone.
-
C.
stateRepresentation
Indicates that one entity serves as a depiction, model, or encoding of the condition, configuration, or status of another entity.
-
D.
statePosition
Indicates the spatial or situational position or status of an entity within a defined context or system.
-
E.
recognizesStatus
Indicates that one entity acknowledges or accepts the official status or standing of another entity.
- 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b74ae081908575c4e47c0ef297 |
completed | March 27, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69c6d09067a0819087ed6c820f4699f8 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:10 p.m.