Triple
T4888889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Zürich |
E109508
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wallisellen
Wallisellen is a municipality in the canton of Zürich, Switzerland, known as a residential and commercial suburb on the outskirts of the city of Zürich.
|
E477668
|
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: Wallisellen | Statement: [Canton of Zürich, contains, Wallisellen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallisellen Context triple: [Canton of Zürich, contains, Wallisellen]
-
A.
Wallis
Wallis is a given name and surname used in English-speaking countries, often considered a variant of Wallace.
-
B.
Hartley
Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
-
C.
Hartley
Hartley is a small census-designated community located in Solano County, California.
-
D.
Sandys
Sandys is the surname of Frederic Sandys, a 19th-century British painter and illustrator associated with the Pre-Raphaelite movement.
-
E.
Southery
Southery is a village and civil parish in Norfolk, England, situated in the Fens near the River Great Ouse.
- 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: Wallisellen Triple: [Canton of Zürich, contains, Wallisellen]
Generated description
Wallisellen is a municipality in the canton of Zürich, Switzerland, known as a residential and commercial suburb on the outskirts of the city of Zürich.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wallisellen Target entity description: Wallisellen is a municipality in the canton of Zürich, Switzerland, known as a residential and commercial suburb on the outskirts of the city of Zürich.
-
A.
Wallis
Wallis is a given name and surname used in English-speaking countries, often considered a variant of Wallace.
-
B.
Hartley
Hartley is a small census-designated community located in Solano County, California.
-
C.
Hartley
Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
-
D.
Sandys
Sandys is the surname of Frederic Sandys, a 19th-century British painter and illustrator associated with the Pre-Raphaelite movement.
-
E.
Southery
Southery is a village and civil parish in Norfolk, England, situated in the Fens near the River Great Ouse.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e06a81881908734dbdc350a2039 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be681704f08190938aec498d7d4662 |
completed | March 21, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69be6d3127448190ab7a967ab78820a4 |
completed | March 21, 2026, 10:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be6dd42bc08190ba4561f74ca7733b |
completed | March 21, 2026, 10:07 a.m. |
Created at: March 20, 2026, 1:28 p.m.