Triple

T23553723
Position Surface form Disambiguated ID Type / Status
Subject Jannowitzbrücke E578121 entity
Predicate hasStationCode P1289 FINISHED
Object JANN
JANN is the official station code used to identify Berlin's Jannowitzbrücke transit station in transportation systems and timetables.
 E1590126 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: JANN | Statement: [Jannowitzbrücke, hasStationCode, JANN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JANN
Context triple: [Jannowitzbrücke, hasStationCode, JANN]
  • A. Jann
    Jann is a given name most notably associated with Jann Wenner, the co-founder and longtime publisher of Rolling Stone magazine.
  • B. JAN
    JAN is the three-letter IATA airport code for Jackson–Medgar Wiley Evers International Airport serving Jackson, Mississippi.
  • C. JANU
    JANU is the Japan Association of National Universities, a representative body that coordinates and advocates for Japan’s national universities.
  • D. Janni
    Janni is an alternative spelling of the given name Gianni, commonly used as a personal name in various European languages.
  • E. Jani
    Jani is a diminutive given name, often used as a familiar or affectionate form of longer names such as Janis or Jan.
  • 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: JANN
Triple: [Jannowitzbrücke, hasStationCode, JANN]
Generated description
JANN is the official station code used to identify Berlin's Jannowitzbrücke transit station in transportation systems and timetables.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JANN
Target entity description: JANN is the official station code used to identify Berlin's Jannowitzbrücke transit station in transportation systems and timetables.
  • A. Jann
    Jann is a given name most notably associated with Jann Wenner, the co-founder and longtime publisher of Rolling Stone magazine.
  • B. JAN
    JAN is the three-letter IATA airport code for Jackson–Medgar Wiley Evers International Airport serving Jackson, Mississippi.
  • C. JANU
    JANU is the Japan Association of National Universities, a representative body that coordinates and advocates for Japan’s national universities.
  • D. Janni
    Janni is an alternative spelling of the given name Gianni, commonly used as a personal name in various European languages.
  • E. Jani
    Jani is a diminutive given name, often used as a familiar or affectionate form of longer names such as Janis or Jan.
  • 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_69e245fa93448190919cb04534560542 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aed17fc881908b45dcde14790d42 completed April 29, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf67efbc8190a75c1d6cb9bd63f9 completed May 19, 2026, 10:08 p.m.
NEDg Description generation batch_6a0ce12579188190befd636d3714675a completed May 19, 2026, 10:16 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce187efa48190876f67fef4873af2 completed May 19, 2026, 10:17 p.m.
Created at: April 17, 2026, 6:11 p.m.