Triple
T15183849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WOB |
E362815
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Wolfsburg urban district |
E74139
|
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: Wolfsburg urban district | Statement: [WOB, regionServed, Wolfsburg urban district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolfsburg urban district Context triple: [WOB, regionServed, Wolfsburg urban district]
-
A.
Wolfsburg
chosen
Wolfsburg is a German city best known as the headquarters and main production site of the Volkswagen automobile company.
-
B.
Wolfsburg region
The Wolfsburg region is an area in Lower Saxony, Germany, centered around the city of Wolfsburg and known for its industrial significance, particularly as the headquarters of Volkswagen.
-
C.
Wallenhorst
Wallenhorst is a municipality in Lower Saxony, Germany, located near the city of Osnabrück.
-
D.
Hamburg-Waltershof
Hamburg-Waltershof is a major port and industrial district of Hamburg, Germany, known for its container terminals and logistics facilities within the Port of Hamburg.
-
E.
Belzig district
Belzig district was a former administrative district in the German state of Brandenburg that later became part of the larger Potsdam-Mittelmark district.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006674c088190ba635a78c30f5637 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec893f1e08190a192b7b9b80484e8 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.