Triple
T21753893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westbahn railway line |
E536984
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object | Amstetten |
—
|
NE NERFINISHED |
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: Amstetten | Statement: [Westbahn railway line, passesThroughCity, Amstetten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amstetten Context triple: [Westbahn railway line, passesThroughCity, Amstetten]
-
A.
Amstetten
chosen
Amstetten is a town in northeastern Austria that serves as an important regional transport and commercial hub between Linz and Vienna.
-
B.
Traunkirchen
Traunkirchen is a picturesque lakeside village in Upper Austria, known for its scenic setting on Lake Traunsee and historic pilgrimage church.
-
C.
St. Pölten
St. Pölten is the capital city of the Austrian state of Lower Austria, known for its baroque architecture and role as a regional administrative and cultural center.
-
D.
Freistadt
Freistadt is a historic small city in Upper Austria known for its well-preserved medieval town center and role as a local cultural and economic hub.
-
E.
Gmunden
Gmunden is a picturesque town in Upper Austria known for its lakeside setting on the Traunsee and its historic ceramics industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8c57508190b45fb974ef0ded10 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 16, 2026, 6:50 p.m.