Triple
T7154843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tractebel |
E166782
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Tractebel Engineering S.A. (Romania) |
E166782
|
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: Tractebel Engineering S.A. (Romania) | Statement: [Tractebel, hasSubsidiary, Tractebel Engineering S.A. (Romania)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tractebel Engineering S.A. (Romania) Context triple: [Tractebel, hasSubsidiary, Tractebel Engineering S.A. (Romania)]
-
A.
Tractebel
chosen
Tractebel is an international engineering and consulting company specializing in energy, water, and infrastructure projects.
-
B.
Uzina Mecanică București
Uzina Mecanică București is a Romanian state-owned defense and heavy machinery factory best known for producing armored vehicles and military equipment.
-
C.
Thales Group
Thales Group is a French multinational company specializing in aerospace, defense, security, and transportation technologies and systems.
-
D.
Sogeti
Sogeti is a professional services and technology consulting company specializing in IT and engineering solutions, operating as a subsidiary of Capgemini.
-
E.
Dalkia
Dalkia is a French energy services company specializing in energy efficiency, district heating and cooling, and sustainable energy solutions for buildings and industry.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e80c747c8190a017a2b1c3e78a3f |
completed | March 27, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf817e4c819098268479f3fb181f |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:46 p.m.