Triple
T1092727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zurich Hauptbahnhof |
E24201
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | River Sihl |
E78561
|
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: River Sihl | Statement: [Zurich Hauptbahnhof, locatedOn, River Sihl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Sihl Context triple: [Zurich Hauptbahnhof, locatedOn, River Sihl]
-
A.
Sihl River
chosen
The Sihl River is a Swiss river that flows through the canton of Zurich and joins the Limmat in the city of Zurich.
-
B.
Alpine Rhine
The Alpine Rhine is the upper stretch of the Rhine River flowing through the Alpine region, forming part of the border between Switzerland, Liechtenstein, and Austria.
-
C.
Isar River
The Isar River is a major river in Austria and Germany that flows through the Alps and the city of Munich before joining the Danube.
-
D.
Kinzig
The Kinzig is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine.
-
E.
Bienne River
The Bienne River is a watercourse in eastern France that flows through the Jura region before joining the Ain River.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99bd06c8190bce1d77b0337b07c |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f2b76308190a843ccad1ef95f07 |
completed | March 7, 2026, 7:40 p.m. |
Created at: March 1, 2026, 7:42 p.m.