Triple
T7181921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gelsenkirchen |
E167466
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | GE |
E129065
|
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: GE | Statement: [Gelsenkirchen, vehicleRegistrationCode, GE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GE Context triple: [Gelsenkirchen, vehicleRegistrationCode, GE]
-
A.
GE
GE is the ISO 3166-1 alpha-2 country code for Georgia, a nation at the crossroads of Eastern Europe and Western Asia.
-
B.
GE
chosen
GE is the Swiss canton code for Geneva, a major city and canton in western Switzerland known for its international organizations and financial center.
-
C.
GM
GM is the post-nominal abbreviation used to denote recipients of the George Medal, a British civilian decoration for bravery.
-
D.
General Electric
General Electric is a major American multinational conglomerate historically known for its leadership in industrial manufacturing, aviation, power, and healthcare technologies.
-
E.
GEKE
GEKE is the German abbreviation for the Community of Protestant Churches in Europe, a fellowship of Protestant churches committed to mutual recognition and cooperation across the continent.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8bc25088190a7d7f3ba2461b5e9 |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b94390d48190b7443c9c8cc41625 |
completed | March 28, 2026, 11:19 a.m. |
Created at: March 27, 2026, 2:49 p.m.