Triple
T2725523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LERU |
E60180
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Heidelberg University |
E24597
|
NE 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: Heidelberg University | Statement: [LERU, hasMember, Heidelberg University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heidelberg University Context triple: [LERU, hasMember, Heidelberg University]
-
A.
Heidelberg University
chosen
Heidelberg University is Germany’s oldest university and a leading research institution renowned for its contributions to the humanities, natural sciences, and medicine.
-
B.
University of Tübingen
The University of Tübingen is a historic German public research university renowned for its strengths in the humanities, natural sciences, and medicine.
-
C.
University of Göttingen
The University of Göttingen is a renowned German research university, historically significant in physics and mathematics and once a leading center for theoretical science in Europe.
-
D.
University of Marburg
The University of Marburg is one of Germany’s oldest universities and a prominent research institution, particularly renowned for its contributions to the natural sciences and medicine.
-
E.
University of Cologne
The University of Cologne is one of Germany’s largest and oldest universities, renowned for its research and teaching across a broad range of disciplines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdacd7e24819084a620063e3f7aa4 |
completed | March 7, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c972177054819083dc93ad7f109b49 |
completed | March 29, 2026, 6:40 p.m. |
Created at: March 6, 2026, 9:55 p.m.