Triple
T14314355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limmattal |
E354914
|
entity |
| Predicate | hasUrbanCenters |
P11388
|
FINISHED |
| Object | Schlieren |
E82313
|
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: Schlieren | Statement: [Limmattal, hasUrbanCenters, Schlieren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schlieren Context triple: [Limmattal, hasUrbanCenters, Schlieren]
-
A.
Schlieren
chosen
Schlieren is a municipality in the canton of Zurich in northern Switzerland, known as a suburban town within the Zurich metropolitan area.
-
B.
Pleiße
Pleiße is a river in eastern Germany that flows through the city of Leipzig and is a tributary of the White Elster.
-
C.
Weissenberg
Weissenberg is a small town in eastern Saxony, Germany, known historically for its proximity to the Napoleonic-era Battle of Bautzen.
-
D.
Reichenbach
Reichenbach is a German surname most notably associated with Hans Reichenbach, a prominent 20th-century philosopher of science and logical empiricist.
-
E.
Seebach
Seebach is a quarter in the northern part of Zurich, Switzerland, known for its residential areas and proximity to major transport links.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b49e5481909b9ffab2d922e284 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4687c6bc819088452892128c420e |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:12 a.m.