Triple
T11425784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giessen |
E270744
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Gießen Hauptbahnhof |
E910912
|
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: Gießen Hauptbahnhof | Statement: [Giessen, hasRailwayStation, Gießen Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gießen Hauptbahnhof Context triple: [Giessen, hasRailwayStation, Gießen Hauptbahnhof]
-
A.
Gießen railway station
chosen
Gießen railway station is the main rail hub of the city of Gießen in Hesse, Germany, serving regional and long-distance passenger services.
-
B.
Gera Hauptbahnhof
Gera Hauptbahnhof is the main railway station and central transport hub of the city of Gera in Thuringia, Germany.
-
C.
Göttingen railway station
Göttingen railway station is a major rail hub in Lower Saxony, Germany, serving as an important stop on the country’s high-speed and regional rail networks.
-
D.
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.
-
E.
Darmstadt Hauptbahnhof
Darmstadt Hauptbahnhof is the main railway station and central transportation hub of the city of Darmstadt in the German state of Hesse.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806be9c2c819084da13101cbb6c81 |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8b553808190bf8b40d9b03e12b7 |
completed | April 20, 2026, 5:25 a.m. |
Created at: April 8, 2026, 9:35 p.m.