Triple
T16395264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plärrer station |
E398162
|
entity |
| Predicate | hasConnection |
P8776
|
FINISHED |
| Object | tram stop Plärrer |
E398162
|
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: tram stop Plärrer | Statement: [Plärrer station, hasConnection, tram stop Plärrer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tram stop Plärrer Context triple: [Plärrer station, hasConnection, tram stop Plärrer]
-
A.
Plärrer station
chosen
Plärrer station is a major interchange stop on the Nuremberg U-Bahn network, serving multiple lines and connecting central parts of the city.
-
B.
Leimbach tram stop
Leimbach tram stop is a public transport stop on the Zürich tram network serving the Leimbach district of Zürich, Switzerland.
-
C.
Klusplatz tram stop
Klusplatz tram stop is a public transport stop in Zürich, Switzerland, serving as a local hub on the city’s tram network.
-
D.
Národní třída tram stop
Národní třída tram stop is a central Prague tram station located near the National Theatre, serving as a key hub on the city's public transport network.
-
E.
Friesenberg tram stop
Friesenberg tram stop is a public transport stop on the Zürich tram network serving the Friesenberg district of the city.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326462298819087091dc935f0f916 |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003575e51c8190a8677f658eb73a30 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.