Triple
T23115426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A1 West Autobahn |
E576736
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object | St. Pölten |
—
|
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: St. Pölten | Statement: [A1 West Autobahn, passesThroughCity, St. Pölten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Pölten Context triple: [A1 West Autobahn, passesThroughCity, St. Pölten]
-
A.
St. Pölten
chosen
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.
-
B.
Amstetten
Amstetten is a town in northeastern Austria that serves as an important regional transport and commercial hub between Linz and Vienna.
-
C.
Wiener Neustadt
Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
-
D.
Tulln an der Donau
Tulln an der Donau is an Austrian town on the Danube River, known for its rich history and as the birthplace of painter Egon Schiele.
-
E.
Linz
Linz is a major Austrian city known for its industrial heritage, vibrant cultural scene, and location along the Danube River.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e1326f08190a1a0b95396cbcd17 |
completed | April 29, 2026, 4:50 a.m. |
Created at: April 17, 2026, 3:59 p.m.