Triple
T11854205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erfurt |
E281989
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Erfurt Hauptbahnhof |
E731272
|
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: Erfurt Hauptbahnhof | Statement: [Erfurt, hasRailwayStation, Erfurt Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erfurt Hauptbahnhof Context triple: [Erfurt, hasRailwayStation, Erfurt Hauptbahnhof]
-
A.
Erfurt Hauptbahnhof
chosen
Erfurt Hauptbahnhof is the main railway station and a major regional and long-distance rail hub in the city of Erfurt, Germany.
-
B.
Gotha railway station
Gotha railway station is the main rail transport hub serving the town of Gotha in Thuringia, Germany, providing regional and long-distance train connections.
-
C.
Eisenach station
Eisenach station is a major railway hub in the German state of Thuringia, serving regional and long-distance passenger services for the town of Eisenach.
-
D.
Gera Hauptbahnhof
Gera Hauptbahnhof is the main railway station and central transport hub of the city of Gera in Thuringia, Germany.
-
E.
Dresden Hauptbahnhof
Dresden Hauptbahnhof is the main central railway station of Dresden, Germany, serving as a major regional and long-distance transport hub.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a697f4108190af984932d2118472 |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f167c9d4e88190bfaadada0450e639 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 8, 2026, 9:43 p.m.