Triple
T5411784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNIL |
E121027
|
entity |
| Predicate | hasSchool |
P113
|
FINISHED |
| Object | HEC Lausanne |
E21913
|
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: HEC Lausanne | Statement: [UNIL, hasSchool, HEC Lausanne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HEC Lausanne Context triple: [UNIL, hasSchool, HEC Lausanne]
-
A.
HEC Paris
HEC Paris is a prestigious French business school renowned for its elite management education, influential alumni network, and leading role in European and global business education.
-
B.
University of Lausanne
chosen
The University of Lausanne is a major public research university in Lausanne, Switzerland, known for its strengths in law, business, life sciences, and social sciences.
-
C.
University of St. Gallen
The University of St. Gallen is a prestigious Swiss university renowned for its programs in business, economics, law, and international affairs.
-
D.
École polytechnique fédérale de Lausanne
École polytechnique fédérale de Lausanne is a leading Swiss research university and engineering school known for its cutting-edge work in science, technology, and innovation.
-
E.
HEC Montréal
HEC Montréal is a leading French-language business school in Montreal, Canada, renowned for its management education and research.
- 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87b9e578819086380ff18a633cb0 |
completed | March 20, 2026, 5:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf411f8f3c81908ca8578a388261c6 |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 20, 2026, 2:05 p.m.