Triple
T18707185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herrengasse |
E457401
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Wiener Linien |
—
|
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: Wiener Linien | Statement: [Herrengasse, operator, Wiener Linien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiener Linien Context triple: [Herrengasse, operator, Wiener Linien]
-
A.
Wiener Linien
chosen
Wiener Linien is the main public transport operator in Vienna, Austria, running the city’s metro, tram, and bus networks.
-
B.
METRORapid
METRORapid is a bus rapid transit service in the Houston, Texas metropolitan area operated by METRO, offering faster, higher-capacity bus service along key corridors.
-
C.
Hamburger Hochbahn
Hamburger Hochbahn is a major public transport company in Hamburg, Germany, responsible for operating much of the city's U-Bahn (subway) and bus network.
-
D.
Metra
Metra is the commuter rail system serving the Chicago metropolitan area, operating extensive routes that connect the city with its surrounding suburbs.
-
E.
Munich S-Bahn
The Munich S-Bahn is a rapid transit and commuter rail network serving Munich and its surrounding metropolitan region in Bavaria, Germany.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e567185c648190848ca47498eb56b3 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.