Triple
T3014899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schlieren |
E82313
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object |
Weiningen
Weiningen is a small Swiss municipality in the canton of Zurich, located in the Limmat Valley near the city of Zurich.
|
E325834
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Schlieren, neighboringMunicipality, Weiningen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weiningen Context triple: [Schlieren, neighboringMunicipality, Weiningen]
-
A.
Oensingen
Oensingen is a Swiss municipality located in the canton of Solothurn, known as a regional transport hub near the Jura mountains.
-
B.
Leichlingen
Leichlingen is a small town in North Rhine-Westphalia, Germany, known for its scenic location along the Wupper River and its fruit-growing traditions.
-
C.
Nellingen
Nellingen is a small municipality in the Alb-Donau district of the German state of Baden-Württemberg, situated on the Swabian Jura plateau.
-
D.
Rheydt
Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
-
E.
Enzweihingen
Enzweihingen is a village in the German state of Baden-Württemberg, known historically as the place where former Nazi foreign minister Konstantin von Neurath died.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Weiningen Triple: [Schlieren, neighboringMunicipality, Weiningen]
Generated description
Weiningen is a small Swiss municipality in the canton of Zurich, located in the Limmat Valley near the city of Zurich.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weiningen Target entity description: Weiningen is a small Swiss municipality in the canton of Zurich, located in the Limmat Valley near the city of Zurich.
-
A.
Oensingen
Oensingen is a Swiss municipality located in the canton of Solothurn, known as a regional transport hub near the Jura mountains.
-
B.
Leichlingen
Leichlingen is a small town in North Rhine-Westphalia, Germany, known for its scenic location along the Wupper River and its fruit-growing traditions.
-
C.
Nellingen
Nellingen is a small municipality in the Alb-Donau district of the German state of Baden-Württemberg, situated on the Swabian Jura plateau.
-
D.
Rheydt
Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
-
E.
Enzweihingen
Enzweihingen is a village in the German state of Baden-Württemberg, known historically as the place where former Nazi foreign minister Konstantin von Neurath died.
- F. None of above. chosen
Provenance (5 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a69e8148190a97507740c9d26a8 |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f8663fb881909d7c179f4f61d313 |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f9608e88819098f4044e54e0d908 |
completed | March 11, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1fe3c8f408190988e7c7e3a51057e |
completed | March 11, 2026, 11:43 p.m. |
Created at: March 8, 2026, 3 p.m.