Triple
T20962700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiel Hauptbahnhof |
E516286
|
entity |
| Predicate | hasNameInEnglish |
P3437
|
FINISHED |
| Object | Kiel Central Station |
E516286
|
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: Kiel Central Station | Statement: [Kiel Hauptbahnhof, hasNameInEnglish, Kiel Central Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiel Central Station Context triple: [Kiel Hauptbahnhof, hasNameInEnglish, Kiel Central Station]
-
A.
Kiel Hauptbahnhof
chosen
Kiel Hauptbahnhof is the main railway station and central transportation hub serving the port city of Kiel in northern Germany.
-
B.
Hamburg Central Station
Hamburg Central Station is the main railway hub of Hamburg and one of Germany’s busiest train stations, serving as a key national and international transport interchange.
-
C.
Eidelstedt station
Eidelstedt station is a railway and S-Bahn station in the Eidelstedt district of Hamburg, Germany, serving as a local and regional transport hub.
-
D.
Wende station
Wende station is a metro station on Taipei's Wenhu (Brown) Line serving the Neihu District in Taiwan.
-
E.
Kiest Station
Kiest Station is a Dallas Area Rapid Transit (DART) light rail stop on the Blue Line serving the Kiest Boulevard area in Dallas, Texas.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb710d6c8190a2daacaad3b22683 |
completed | April 21, 2026, 4:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a092798800481909d437b58467f8e2b |
completed | May 17, 2026, 2:27 a.m. |
Created at: April 16, 2026, 1:32 p.m.