Triple
T15889579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sihltal |
E385279
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Hausen am Albis |
E1173047
|
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: Hausen am Albis | Statement: [Sihltal, hasMunicipality, Hausen am Albis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hausen am Albis Context triple: [Sihltal, hasMunicipality, Hausen am Albis]
-
A.
Hausen am Albis
chosen
Hausen am Albis is a municipality in the canton of Zurich in Switzerland, situated on the Albis hills south of the city of Zurich.
-
B.
Hausen an der Würm
Hausen an der Würm is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
-
C.
Langnau am Albis
Langnau am Albis is a municipality in the canton of Zurich in Switzerland, situated in the Sihl Valley and known for its scenic, wooded surroundings and residential character.
-
D.
Almenhof
Almenhof is a residential district of Mannheim in the German state of Baden-Württemberg.
-
E.
Hausen
Hausen is a small municipality in the district of Kelheim in the German state of Bavaria.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561d5c28819094c3541d917a4433 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb59f979c8190826e35a16e295704 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:51 a.m.