Triple
T7374132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suez |
E170080
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | Veolia Environnement |
E132003
|
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: Veolia Environnement | Statement: [Suez, hasCompetitor, Veolia Environnement]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veolia Environnement Context triple: [Suez, hasCompetitor, Veolia Environnement]
-
A.
Veolia Environnement
chosen
Veolia Environnement is a French multinational company specializing in water, waste, and energy management services worldwide.
-
B.
Suez Environnement
Suez Environnement was a French multinational company specializing in water and waste management services before being rebranded under the Suez name.
-
C.
GDF Suez
GDF Suez was a major French multinational energy company, primarily active in electricity and natural gas, that later rebranded as Engie.
-
D.
Dalkia
Dalkia is a French energy services company specializing in energy efficiency, district heating and cooling, and sustainable energy solutions for buildings and industry.
-
E.
SUEZ Recycling and Recovery
SUEZ Recycling and Recovery is a subsidiary of the SUEZ Group specializing in waste management, recycling, and resource recovery services.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a6643c81909d626c8b6a7a11fd |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810de7618819099ab4ff328255d92 |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:07 p.m.