Triple
T20044819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illnau-Effretikon |
E497530
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Ottikon
Ottikon is a small village in the municipality of Illnau-Effretikon in the canton of Zurich, Switzerland.
|
E1433678
|
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: Ottikon | Statement: [Illnau-Effretikon, hasSettlement, Ottikon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ottikon Context triple: [Illnau-Effretikon, hasSettlement, Ottikon]
-
A.
Zollikon
Zollikon is an affluent suburban municipality on the shores of Lake Zurich, known for its residential character and proximity to the city of Zurich in Switzerland.
-
B.
Uitikon
Uitikon is a small municipality in the canton of Zurich, Switzerland, located on the western outskirts of the city of Zurich.
-
C.
Kloten
Kloten is a town in the canton of Zurich in northern Switzerland, best known as the home of Zurich Airport.
-
D.
Gattikon
Gattikon is a village in the canton of Zurich, Switzerland, situated in the Sihl Valley and administratively part of the municipality of Thalwil.
-
E.
Regensdorf
Regensdorf is a municipality in the canton of Zürich in northern Switzerland, known as a suburban residential and industrial area near the city of Zürich.
- 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: Ottikon Triple: [Illnau-Effretikon, hasSettlement, Ottikon]
Generated description
Ottikon is a small village in the municipality of Illnau-Effretikon in the canton of Zurich, Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ottikon Target entity description: Ottikon is a small village in the municipality of Illnau-Effretikon in the canton of Zurich, Switzerland.
-
A.
Zollikon
Zollikon is an affluent suburban municipality on the shores of Lake Zurich, known for its residential character and proximity to the city of Zurich in Switzerland.
-
B.
Uitikon
Uitikon is a small municipality in the canton of Zurich, Switzerland, located on the western outskirts of the city of Zurich.
-
C.
Kloten
Kloten is a town in the canton of Zurich in northern Switzerland, best known as the home of Zurich Airport.
-
D.
Gattikon
Gattikon is a village in the canton of Zurich, Switzerland, situated in the Sihl Valley and administratively part of the municipality of Thalwil.
-
E.
Regensdorf
Regensdorf is a municipality in the canton of Zürich in northern Switzerland, known as a suburban residential and industrial area near the city of Zürich.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662eea09481908d1001165e9d719c |
completed | April 20, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a089399e7b88190864e9000384d098f |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a08943ff9b08190aa420d0d2f8d9723 |
completed | May 16, 2026, 3:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a089497f8fc81909e1ef6ace3d8336f |
completed | May 16, 2026, 4 p.m. |
Created at: April 11, 2026, 3:37 p.m.