Triple
T20020548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Affoltern am Albis |
E494843
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Mettmenstetten
Mettmenstetten is a municipality in the canton of Zurich in Switzerland, situated in the district of Affoltern in a predominantly rural and residential area.
|
E1416943
|
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: Mettmenstetten | Statement: [Affoltern am Albis, hasNeighboringMunicipality, Mettmenstetten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mettmenstetten Context triple: [Affoltern am Albis, hasNeighboringMunicipality, Mettmenstetten]
-
A.
Altstetten
Altstetten is a district of the city of Zurich in Switzerland, known as a major residential and transport hub in the Limmat Valley region.
-
B.
Bonstetten
Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Zauggenried
Zauggenried was a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
-
D.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
E.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
- 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: Mettmenstetten Triple: [Affoltern am Albis, hasNeighboringMunicipality, Mettmenstetten]
Generated description
Mettmenstetten is a municipality in the canton of Zurich in Switzerland, situated in the district of Affoltern in a predominantly rural and residential area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mettmenstetten Target entity description: Mettmenstetten is a municipality in the canton of Zurich in Switzerland, situated in the district of Affoltern in a predominantly rural and residential area.
-
A.
Altstetten
Altstetten is a district of the city of Zurich in Switzerland, known as a major residential and transport hub in the Limmat Valley region.
-
B.
Bonstetten
Bonstetten is a small municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Zauggenried
Zauggenried was a former Swiss municipality in the canton of Bern that has been incorporated into the larger municipality of Fraubrunnen.
-
D.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
E.
Waldegg
Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623fe1988190a1c09d392d866dc8 |
completed | April 20, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c6343408190942698824da613e4 |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083e908f1481909a120588f975e9cd |
completed | May 16, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083eed04448190a74e250311f66bd1 |
completed | May 16, 2026, 9:54 a.m. |
Created at: April 11, 2026, 3:34 p.m.