Triple
T19877353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glatt |
E477672
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Glattfelden |
E687351
|
NE FINISHED |
How this triple was built (2 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: Glattfelden | Statement: [Glatt, passesThrough, Glattfelden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glattfelden Context triple: [Glatt, passesThrough, Glattfelden]
-
A.
Glattfelden
chosen
Glattfelden is a municipality in the canton of Zurich in northern Switzerland, known for its scenic setting along the Glatt River and its well-preserved historic village center.
-
B.
Adelmannsfelden
Adelmannsfelden is a small rural municipality in the Ostalb district of the German state of Baden-Württemberg.
-
C.
Pleinfeld
Pleinfeld is a market town in the Franconian region of Bavaria, Germany, known for its proximity to the Brombachsee reservoir and its role as a local tourist and recreation center.
-
D.
Eggenfelden
Eggenfelden is a town in southeastern Germany known as a local commercial and cultural center within the region of Lower Bavaria.
-
E.
Niederglatt
Niederglatt is a municipality in the canton of Zurich in northern Switzerland, situated in the Glatt Valley and integrated into the greater Zurich metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658dbdb648190b423865e7994a8fe |
completed | April 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0843d42838819087f89a9bf06a979b |
completed | May 16, 2026, 10:15 a.m. |
Created at: April 10, 2026, 1:52 p.m.