Triple
T5833976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derendingen |
E129420
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Deitingen |
E135582
|
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: Deitingen | Statement: [Derendingen, hasNeighboringMunicipality, Deitingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deitingen Context triple: [Derendingen, hasNeighboringMunicipality, Deitingen]
-
A.
Deitingen
chosen
Deitingen is a municipality in the canton of Solothurn in northwestern Switzerland.
-
B.
Ostenfelde
Ostenfelde is a village in Germany best known as the birthplace of the influential 19th-century mathematician Karl Weierstrass.
-
C.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
D.
Gandersheim
Gandersheim is a historic town in present-day Lower Saxony, Germany, best known for its medieval abbey and role as a cultural and religious center in the early Holy Roman Empire.
-
E.
Stolberg
Stolberg is a historic German town in the Harz region, known for its well-preserved medieval architecture and role in early Reformation-era history.
- 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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0346e6e9c8190a245e5d10595a68f |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0ef1c988190b452158b560cf39f |
completed | March 23, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:54 p.m.