Triple
T16654516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volketswil |
E404692
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object |
Hegnau
Hegnau is a locality within the municipality of Volketswil in the canton of Zurich, Switzerland, characterized by its residential areas and proximity to the Zurich metropolitan region.
|
E1234767
|
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: Hegnau | Statement: [Volketswil, hasLocality, Hegnau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hegnau Context triple: [Volketswil, hasLocality, Hegnau]
-
A.
Hörnum
Hörnum is a small seaside resort town located at the southern tip of the German North Sea island of Sylt, known for its beaches, dunes, and lighthouse.
-
B.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
-
C.
Landensberg
Landensberg is a small municipality in the Bavarian region of southern Germany.
-
D.
Hangelsberg
Hangelsberg is a village in the German state of Brandenburg, known as a district of the municipality Grünheide (Mark) in the Oder-Spree region.
-
E.
Hermannstein
Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
- 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: Hegnau Triple: [Volketswil, hasLocality, Hegnau]
Generated description
Hegnau is a locality within the municipality of Volketswil in the canton of Zurich, Switzerland, characterized by its residential areas and proximity to the Zurich metropolitan region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hegnau Target entity description: Hegnau is a locality within the municipality of Volketswil in the canton of Zurich, Switzerland, characterized by its residential areas and proximity to the Zurich metropolitan region.
-
A.
Hörnum
Hörnum is a small seaside resort town located at the southern tip of the German North Sea island of Sylt, known for its beaches, dunes, and lighthouse.
-
B.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
-
C.
Landensberg
Landensberg is a small municipality in the Bavarian region of southern Germany.
-
D.
Hangelsberg
Hangelsberg is a village in the German state of Brandenburg, known as a district of the municipality Grünheide (Mark) in the Oder-Spree region.
-
E.
Hermannstein
Hermannstein is a district of the German city of Wetzlar in the state of Hesse.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf92de48190aaae3e93039b17f3 |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b27b88c481909afe9271f70a5c4c |
completed | May 10, 2026, 4:29 p.m. |
| NEDg | Description generation | batch_6a00b399786c8190acbd188ab55b1fa0 |
completed | May 10, 2026, 4:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b466ecd08190b7b5ee54476631ab |
completed | May 10, 2026, 4:37 p.m. |
Created at: April 10, 2026, 5:18 a.m.