Triple
T14157219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meilen |
E350843
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object |
Egg, Zürich
Egg is a municipality in the canton of Zürich, Switzerland, located in the district of Meilen on the Pfannenstiel hill region.
|
E1083788
|
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: Egg, Zürich | Statement: [Meilen, neighboringMunicipality, Egg, Zürich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egg, Zürich Context triple: [Meilen, neighboringMunicipality, Egg, Zürich]
-
A.
Aigle, Switzerland
Aigle, Switzerland is a small town in the canton of Vaud known as an international hub for professional cycling and sports administration.
-
B.
Dietikon
Dietikon is a town and municipality in the canton of Zurich in Switzerland, known as an important regional center in the Limmat Valley.
-
C.
Egloffstein
Egloffstein is a small market town in northern Bavaria, Germany, known for its historic castle and scenic location in the Franconian Switzerland region.
-
D.
St. Gallen
St. Gallen is a historic city in northeastern Switzerland renowned for its UNESCO-listed Abbey of Saint Gall and rich textile heritage.
-
E.
Grenchen
Grenchen is a Swiss town in the canton of Solothurn known for its watchmaking industry and location at the foot of the Jura Mountains.
- 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: Egg, Zürich Triple: [Meilen, neighboringMunicipality, Egg, Zürich]
Generated description
Egg is a municipality in the canton of Zürich, Switzerland, located in the district of Meilen on the Pfannenstiel hill region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Egg, Zürich Target entity description: Egg is a municipality in the canton of Zürich, Switzerland, located in the district of Meilen on the Pfannenstiel hill region.
-
A.
Aigle, Switzerland
Aigle, Switzerland is a small town in the canton of Vaud known as an international hub for professional cycling and sports administration.
-
B.
Dietikon
Dietikon is a town and municipality in the canton of Zurich in Switzerland, known as an important regional center in the Limmat Valley.
-
C.
Egloffstein
Egloffstein is a small market town in northern Bavaria, Germany, known for its historic castle and scenic location in the Franconian Switzerland region.
-
D.
St. Gallen
St. Gallen is a historic city in northeastern Switzerland renowned for its UNESCO-listed Abbey of Saint Gall and rich textile heritage.
-
E.
Grenchen
Grenchen is a Swiss town in the canton of Solothurn known for its watchmaking industry and location at the foot of the Jura Mountains.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61377de48190a3470d28f0edd34a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ef4d80819098d210503f5d22e9 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fd02cee5e0819086718893d1621481 |
completed | May 7, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd063668f4819099d52bee7e7cdc32 |
completed | May 7, 2026, 9:37 p.m. |
Created at: April 10, 2026, 12:58 a.m.