Triple

T22762421
Position Surface form Disambiguated ID Type / Status
Subject Karlsruhe Hauptbahnhof E563025 entity
Predicate hasStationCode P1289 FINISHED
Object RK
RK is the station code used to identify Karlsruhe Hauptbahnhof, the main railway station in Karlsruhe, Germany.
 E1553351 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: RK | Statement: [Karlsruhe Hauptbahnhof, hasStationCode, RK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RK
Context triple: [Karlsruhe Hauptbahnhof, hasStationCode, RK]
  • A. RK
    RK is the station code for Rockwell station, a transit stop identified by this abbreviation.
  • B. RK
    RK is the vehicle registration code used for the town of Ružomberok in northern Slovakia.
  • C. RK
    RK is the commonly used abbreviation for the Riigikogu, the unicameral national parliament of Estonia.
  • D. RK
    RK is the regional vehicle registration code used on car license plates issued in Krosno, a city in southeastern Poland.
  • E. RK
    RK is the commonly used initialism for RK Metaloplastika Šabac, a Serbian handball club with a notable history in domestic and European competitions.
  • 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: RK
Triple: [Karlsruhe Hauptbahnhof, hasStationCode, RK]
Generated description
RK is the station code used to identify Karlsruhe Hauptbahnhof, the main railway station in Karlsruhe, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RK
Target entity description: RK is the station code used to identify Karlsruhe Hauptbahnhof, the main railway station in Karlsruhe, Germany.
  • A. RK
    RK is the station code for Rockwell station, a transit stop identified by this abbreviation.
  • B. RK
    RK is the vehicle registration code used for the town of Ružomberok in northern Slovakia.
  • C. RK
    RK is the regional vehicle registration code used on car license plates issued in Krosno, a city in southeastern Poland.
  • D. RK
    RK is the vehicle registration code used for motor vehicles registered in the Rychnov nad Kněžnou District of the Czech Republic.
  • E. RK
    RK is the commonly used abbreviation for the Riigikogu, the unicameral national parliament of Estonia.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7d09ac8190b773e8977cb8a829 completed April 29, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b981b7e3c8190afd9f462428e40fb completed May 18, 2026, 10:52 p.m.
NEDg Description generation batch_6a0b98d159688190a5ec037ee8692f33 completed May 18, 2026, 10:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0b99b6e7e88190995319351374f97c completed May 18, 2026, 10:59 p.m.
Created at: April 17, 2026, 3:26 p.m.