Triple
T1474621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PSA Group |
E30809
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object | Opel |
E29685
|
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: Opel | Statement: [PSA Group, acquired, Opel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opel Context triple: [PSA Group, acquired, Opel]
-
A.
Opel
chosen
Opel is a German automobile manufacturer known for producing a wide range of passenger cars and light commercial vehicles for the European market.
-
B.
Vauxhall
Vauxhall is a long-established British automobile manufacturer known for producing a wide range of passenger cars and light commercial vehicles.
-
C.
Vauxhall
Vauxhall is a central London parliamentary constituency and district on the south bank of the River Thames, known for its transport hub, riverside developments, and diverse urban character.
-
D.
Opel Antara
The Opel Antara is a compact crossover SUV produced by German automaker Opel, sharing its platform and many components with the Saturn Vue and Chevrolet Captiva.
-
E.
Opel Corsa
The Opel Corsa is a popular supermini/subcompact car produced by the German automaker Opel since the early 1980s, known for its practicality and widespread use in European markets.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c6011d248190988380eca4ecf514 |
completed | March 1, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad308a2c448190b78cee5506c02e49 |
completed | March 8, 2026, 8:17 a.m. |
Created at: March 1, 2026, 8:11 p.m.