Triple
T18254429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ContiTech |
E437185
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | ContiTech |
—
|
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: ContiTech | Statement: [ContiTech, hasBrand, ContiTech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ContiTech Context triple: [ContiTech, hasBrand, ContiTech]
-
A.
ContiTech
chosen
ContiTech is a division of Continental AG that specializes in rubber and plastics technology, producing engineered products such as hoses, conveyor belts, and vibration control components for various industries.
-
B.
Conti
Conti is an Italian surname most notably associated with Bill Conti, the American composer famous for his film scores such as the "Rocky" theme.
-
C.
Imtech
Imtech was a European technical services provider specializing in electrical engineering, ICT, and mechanical services for buildings and industry.
-
D.
Comeng
Comeng is an Australian engineering and rolling stock manufacturing company best known for producing trains and other rail vehicles used across the country.
-
E.
Qontigo
Qontigo is a financial technology and indexing company known for providing index, analytics, and risk management solutions to global investors.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd84b3a481908bbc1a5e5034d397 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:33 a.m.