Triple
T9834161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marburg (Lahn) station |
E239058
|
entity |
| Predicate | hasFormerName |
P65
|
FINISHED |
| Object | Marburg station |
E239058
|
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: Marburg station | Statement: [Marburg (Lahn) station, hasFormerName, Marburg station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marburg station Context triple: [Marburg (Lahn) station, hasFormerName, Marburg station]
-
A.
Marburg (Lahn) station
chosen
Marburg (Lahn) station is the main railway station serving the university city of Marburg in the German state of Hesse.
-
B.
Emmerich station
Emmerich station is a railway station in the German town of Emmerich am Rhein that serves as a regional and cross-border transport hub near the Dutch border.
-
C.
Dillenburg station
Dillenburg station is a regional railway station in the town of Dillenburg in Hesse, Germany, serving as a local transport hub for passenger rail services.
-
D.
Rastatt station
Rastatt station is the main railway station serving the town of Rastatt in Baden-Württemberg, Germany, providing regional and long-distance rail connections.
-
E.
Fulda station
Fulda station is a major railway hub in the German state of Hesse, serving as an important interchange on both high-speed and regional rail routes.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3385054819094145c96204e3f0d |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5c8f1a48190a4e7b6cda8ee88d5 |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:32 p.m.