Triple
T21903726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ENAC |
E540875
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | ENAC |
—
|
NE NERFINISHED |
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: ENAC | Statement: [ENAC, acronym, ENAC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ENAC Context triple: [ENAC, acronym, ENAC]
-
A.
ENAC
chosen
ENAC is the School of Architecture, Civil and Environmental Engineering at EPFL in Switzerland, encompassing education and research in the built and natural environment.
-
B.
ÉTS
ÉTS is a Montreal-based engineering school specializing in applied research and training highly skilled engineers for industry.
-
C.
ENSTA Paris
ENSTA Paris is a leading French grande école of engineering and research, specializing in advanced science and technology, and is one of the founding schools of the Institut Polytechnique de Paris.
-
D.
ENSAM
ENSAM is a prestigious French grande école of engineering known for its strong focus on mechanical and industrial engineering and its nationwide network of campuses.
-
E.
HEC
HEC is Pakistan’s apex regulatory and funding body responsible for overseeing, accrediting, and promoting higher education and research in the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d3c23081908c30c3a617002389 |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:26 p.m.