Triple
T16550129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neckarsulm |
E402048
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Amorbach (Neckarsulm) |
E657230
|
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: Amorbach (Neckarsulm) | Statement: [Neckarsulm, hasSubdivision, Amorbach (Neckarsulm)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amorbach (Neckarsulm) Context triple: [Neckarsulm, hasSubdivision, Amorbach (Neckarsulm)]
-
A.
Amorbach
chosen
Amorbach is a historic town in Bavaria, Germany, known for its former Benedictine abbey and as a residence of the princely House of Leiningen.
-
B.
Marbach am Neckar
Marbach am Neckar is a historic town in the German state of Baden-Württemberg, best known as the birthplace of the renowned poet and playwright Friedrich Schiller.
-
C.
Schambach
Schambach is a small river in Bavaria, Germany, that flows into the Altmühl as one of its tributaries.
-
D.
Neckarsulm
Neckarsulm is a town in the German state of Baden-Württemberg, known for its automotive industry presence and as the headquarters of the discount retailer Lidl.
-
E.
Korbach
Korbach is a historic town in the German state of Hesse, known as the district seat of Waldeck-Frankenberg and for its well-preserved medieval old town.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc451dc8190b571d5010f4017f4 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b6ca44819085145eb48356e7b4 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.