Triple
T17550153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | INSA Lyon |
E427437
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Energy and Environmental Engineering |
—
|
NE NERFINISHED |
How this triple was built (3 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: Energy and Environmental Engineering | Statement: [INSA Lyon, hasDepartment, Energy and Environmental Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Energy and Environmental Engineering Context triple: [INSA Lyon, hasDepartment, Energy and Environmental Engineering]
-
A.
Energy and Building Technology
Energy and Building Technology is a Bosch business division focused on developing and providing energy-efficient, smart, and integrated solutions for buildings and infrastructure.
-
B.
School of Sustainable Energy Engineering
The School of Sustainable Energy Engineering is an academic unit focused on educating engineers and conducting research in clean, renewable, and energy-efficient technologies and systems.
-
C.
Energy and Atmosphere
Energy and Atmosphere is a key LEED category that focuses on optimizing building energy performance, promoting renewable energy use, and reducing greenhouse gas emissions.
-
D.
School of Energy and Environment
The School of Energy and Environment is an academic unit at City University of Hong Kong focused on education and research in sustainable energy, environmental science, and related technologies.
-
E.
Environmental Technologies
Environmental Technologies is a Corning Incorporated business segment that develops and manufactures advanced materials and components aimed at reducing emissions and improving environmental performance, particularly in automotive and industrial applications.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Energy and Environmental Engineering Target entity description: Energy and Environmental Engineering is an academic department at INSA Lyon focused on education and research in sustainable energy systems and environmental technologies.
-
A.
Energy and Building Technology
Energy and Building Technology is a Bosch business division focused on developing and providing energy-efficient, smart, and integrated solutions for buildings and infrastructure.
-
B.
School of Sustainable Energy Engineering
The School of Sustainable Energy Engineering is an academic unit focused on educating engineers and conducting research in clean, renewable, and energy-efficient technologies and systems.
-
C.
Energy and Atmosphere
Energy and Atmosphere is a key LEED category that focuses on optimizing building energy performance, promoting renewable energy use, and reducing greenhouse gas emissions.
-
D.
School of Energy and Environment
The School of Energy and Environment is an academic unit at City University of Hong Kong focused on education and research in sustainable energy, environmental science, and related technologies.
-
E.
Environmental Technologies
Environmental Technologies is a Corning Incorporated business segment that develops and manufactures advanced materials and components aimed at reducing emissions and improving environmental performance, particularly in automotive and industrial applications.
- F. None of above. chosen
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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45463ddf88190a2c29f3246adcb6e |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:50 a.m.