Triple
T1151502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CAC 40 |
E23686
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Engie |
E27065
|
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: Engie | Statement: [CAC 40, hasComponent, Engie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Engie Context triple: [CAC 40, hasComponent, Engie]
-
A.
Engie
chosen
Engie is a major French multinational utility company specializing in electricity, natural gas, and energy services, with a strong focus on renewable and low-carbon energy solutions.
-
B.
Areva
Areva was a French multinational group specializing in nuclear power and renewable energy technologies, known for its involvement in the entire nuclear fuel cycle.
-
C.
Mitsubishi Heavy Industries
Mitsubishi Heavy Industries is a major Japanese multinational engineering and manufacturing company known for producing ships, aerospace equipment, power systems, and heavy machinery.
-
D.
Mitsubishi Electric
Mitsubishi Electric is a global Japanese electronics and electrical equipment manufacturer known for producing advanced technologies ranging from factory automation systems and power equipment to large-scale display and video board solutions.
-
E.
Kawasaki Heavy Industries
Kawasaki Heavy Industries is a major Japanese multinational corporation known for manufacturing ships, heavy machinery, aerospace equipment, and transportation systems.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc744e7c81908f8612f2aad28600 |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5eb5d36c8190916a43a5f41df144 |
completed | March 7, 2026, 5:21 p.m. |
Created at: March 1, 2026, 7:44 p.m.