Triple
T13339966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberengstringen |
E317797
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Weiningen ZH |
E325834
|
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: Weiningen ZH | Statement: [Oberengstringen, neighboringMunicipality, Weiningen ZH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weiningen ZH Context triple: [Oberengstringen, neighboringMunicipality, Weiningen ZH]
-
A.
Weiningen
chosen
Weiningen is a small Swiss municipality in the canton of Zurich, located in the Limmat Valley near the city of Zurich.
-
B.
Orsingen-Nenzingen
Orsingen-Nenzingen is a small municipality in the state of Baden-Württemberg in southern Germany.
-
C.
Wädenswil
Wädenswil is a Swiss town in the canton of Zurich known for its lakeside location, wine-growing tradition, and research institutes.
-
D.
Rheinfelden (Aargau)
Rheinfelden (Aargau) is a historic Swiss town on the Rhine in the canton of Aargau, known as one of the country’s oldest Zähringer-founded cities and a former Habsburg stronghold.
-
E.
Neidingen
Neidingen is a small locality in present-day Germany historically noted as the place where the Carolingian emperor Charles the Fat died.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d01bf8481908cd3a99e5557b972 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f3ecf4c8190bb9eee699859dc08 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.