Triple
T16763350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesel station |
E407400
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Emmerich station |
E521902
|
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: Emmerich station | Statement: [Wesel station, connectsWith, Emmerich station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmerich station Context triple: [Wesel station, connectsWith, Emmerich station]
-
A.
Emmerich station
chosen
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.
-
B.
Enkheim station
Enkheim station is a public transit stop in Frankfurt, Germany, serving as a terminus and interchange point on the city’s U-Bahn network.
-
C.
Hartmannshof station
Hartmannshof station is a local railway stop in the village of Hartmannshof in Bavaria, Germany, serving regional passenger services on the Nuremberg–Neumarkt–Regensburg line.
-
D.
Ziegelstein station
Ziegelstein station is a stop on the Nuremberg U-Bahn network serving the Ziegelstein district in Nuremberg, Germany.
-
E.
Kieferngarten station
Kieferngarten station is a Munich U-Bahn station on the northern section of the network, serving as a stop on the line that connects the city center with the Allianz Arena area.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abee862c819086d9bf01e623a8ce |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b283a9808190ba76110cf3c7f3a9 |
completed | May 10, 2026, 4:29 p.m. |
Created at: April 10, 2026, 5:21 a.m.