Triple

T19058894
Position Surface form Disambiguated ID Type / Status
Subject Jičín railway station E466471 entity
Predicate railwayStationCode P1289 FINISHED
Object CJIC
CJIC is the station code used to identify Jičín railway station in the Czech railway network.
 E1356290 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: CJIC | Statement: [Jičín railway station, railwayStationCode, CJIC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CJIC
Context triple: [Jičín railway station, railwayStationCode, CJIC]
  • A. CJI
    CJI is the commonly used abbreviation for the Chief Justice of India, the head of the Indian judiciary and the Supreme Court of India.
  • B. CJUE
    CJUE is the French acronym for the Court of Justice of the European Union, the EU’s highest judicial authority responsible for interpreting EU law and ensuring its uniform application across member states.
  • C. CIC
    CIC is the three-letter IATA airport code assigned to Chico Municipal Airport in Chico, California.
  • D. CIC
    CIC is a major French banking group known for its role in retail and corporate banking and its partial privatization in the late 20th century.
  • E. CIC
    CIC is the station code for the Civic Center/Grand Park transit station in Los Angeles.
  • 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: CJIC
Triple: [Jičín railway station, railwayStationCode, CJIC]
Generated description
CJIC is the station code used to identify Jičín railway station in the Czech railway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CJIC
Target entity description: CJIC is the station code used to identify Jičín railway station in the Czech railway network.
  • A. CJI
    CJI is the commonly used abbreviation for the Chief Justice of India, the head of the Indian judiciary and the Supreme Court of India.
  • B. CJUE
    CJUE is the French acronym for the Court of Justice of the European Union, the EU’s highest judicial authority responsible for interpreting EU law and ensuring its uniform application across member states.
  • C. CIC
    CIC is the three-letter IATA airport code assigned to Chico Municipal Airport in Chico, California.
  • D. CIC
    CIC is a major French banking group known for its role in retail and corporate banking and its partial privatization in the late 20th century.
  • E. CIC
    CIC is the station code for the Civic Center/Grand Park transit station in Los Angeles.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc08572c8190af2f8bcfe9d1616c completed April 20, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c55bceb081908f7d8a74dd01dc32 completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c93eb7b881909bf53002224ea86e completed May 14, 2026, 1:08 p.m.
NED2 Entity disambiguation (via description) batch_6a05ca4de6448190aca4c8b4a5af9416 completed May 14, 2026, 1:12 p.m.
Created at: April 10, 2026, 12:03 p.m.