Triple
T10728897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahnhof Bad Kleinen |
E253021
|
entity |
| Predicate | railwayStationCode |
P1289
|
FINISHED |
| Object |
ABK
ABK is the station code for Bahnhof Bad Kleinen, a railway station in the town of Bad Kleinen in northern Germany.
|
E883393
|
NE FINISHED |
How this triple was built (4 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: ABK | Statement: [Bahnhof Bad Kleinen, railwayStationCode, ABK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABK Context triple: [Bahnhof Bad Kleinen, railwayStationCode, ABK]
-
A.
ABCL
ABCL (Armed Bear Common Lisp) is an implementation of the Common Lisp programming language that runs on the Java Virtual Machine, enabling interoperability with Java code.
-
B.
ABT
ABT is the stock ticker symbol for Abbott Laboratories, a global healthcare company specializing in medical devices, diagnostics, nutrition products, and branded generic pharmaceuticals.
-
C.
ABT
ABT is a leading American classical ballet company renowned for its extensive repertoire and international tours.
-
D.
ABJ
ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
-
E.
ABY
ABY is the IATA airport code for Southwest Georgia Regional Airport serving Albany, Georgia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ABK Triple: [Bahnhof Bad Kleinen, railwayStationCode, ABK]
Generated description
ABK is the station code for Bahnhof Bad Kleinen, a railway station in the town of Bad Kleinen in northern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ABK Target entity description: ABK is the station code for Bahnhof Bad Kleinen, a railway station in the town of Bad Kleinen in northern Germany.
-
A.
ABCL
ABCL (Armed Bear Common Lisp) is an implementation of the Common Lisp programming language that runs on the Java Virtual Machine, enabling interoperability with Java code.
-
B.
ABT
ABT is the stock ticker symbol for Abbott Laboratories, a global healthcare company specializing in medical devices, diagnostics, nutrition products, and branded generic pharmaceuticals.
-
C.
ABT
ABT is a leading American classical ballet company renowned for its extensive repertoire and international tours.
-
D.
ABJ
ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
-
E.
ABY
ABY is the IATA airport code for Southwest Georgia Regional Airport serving Albany, Georgia.
- F. None of above. chosen
Provenance (5 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fc92a18819089cc67afee1c9b96 |
completed | April 9, 2026, 2:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22a97fec8190bb97f68353c2144e |
completed | April 14, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69de271ca4f081908d78a20b25ebd25c |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2ccee0cc8190acd24d5c225f7cde |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:14 p.m.