Triple
T13568398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mini Countryman |
E324096
|
entity |
| Predicate | assemblyLocation |
P40
|
FINISHED |
| Object | Leipzig, Germany |
E38199
|
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: Leipzig, Germany | Statement: [Mini Countryman, assemblyLocation, Leipzig, Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leipzig, Germany Context triple: [Mini Countryman, assemblyLocation, Leipzig, Germany]
-
A.
Leipzig
chosen
Leipzig is a major city in eastern Germany known for its rich cultural heritage, vibrant music and arts scene, and important role in trade and commerce.
-
B.
Döberitz, Germany
Döberitz, Germany is a locality historically known for its military airfield and role in early German aviation testing and development.
-
C.
Brühl, Germany
Brühl, Germany is a town in North Rhine-Westphalia known for its UNESCO-listed Augustusburg and Falkenlust palaces and its proximity to Cologne.
-
D.
Linden, Germany
Linden, Germany is a small town in the state of Hesse known for its historical roots and traditional German character.
-
E.
Johnsburg, Germany
Johnsburg, Germany is a German town that served as the namesake and ancestral origin for many of the settlers of Johnsburg, Illinois.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00e0188819094fde44f85adb69c |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7942a29b88190acefc8b3b91d849f |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:48 p.m.