Triple
T5052067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opel Vectra |
E113807
|
entity |
| Predicate | assemblyLocation |
P40
|
FINISHED |
| Object | Rüsselsheim, Germany |
E170536
|
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: Rüsselsheim, Germany | Statement: [Opel Vectra, assemblyLocation, Rüsselsheim, Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rüsselsheim, Germany Context triple: [Opel Vectra, assemblyLocation, Rüsselsheim, Germany]
-
A.
Rüsselsheim am Main
chosen
Rüsselsheim am Main is a city in the German state of Hesse best known as a major automotive hub and the longtime home of car manufacturer Opel.
-
B.
Weinheim, Germany
Weinheim, Germany is a town in the state of Baden-Württemberg known for its historic old town, twin castles, and role as a regional economic and publishing center.
-
C.
Schröttinghausen, Germany
Schröttinghausen is a small locality in Germany best known as the birthplace of influential astronomer Walter Baade.
-
D.
Rheinbach, Germany
Rheinbach is a small town in the Rhein-Sieg district of North Rhine-Westphalia, western Germany, known for its glassmaking tradition and proximity to Bonn.
-
E.
Frohnhausen, Germany
Frohnhausen is a district in Germany known in part for its town-twinning partnership with Much Wenlock in England.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7428d7a88190b990aedae390acbe |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea483b6cc8190b3b48598a291d708 |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:37 p.m.