Triple

T9921883
Position Surface form Disambiguated ID Type / Status
Subject Bikaner Junction E187814 entity
Predicate stationCode P1289 FINISHED
Object BKN
BKN is the Indian Railways station code for Bikaner Junction, a major railway station in the city of Bikaner, Rajasthan.
E829121 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: BKN | Statement: [Bikaner Junction, stationCode, BKN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BKN
Context triple: [Bikaner Junction, stationCode, BKN]
  • A. BKN
    BKN is the standard three-letter abbreviation used for the Brooklyn Nets NBA franchise.
  • B. Overcast
    Overcast is a popular iOS podcast player app known for its smart features, clean design, and development by Marco Arment.
  • C. Partly Cloudy
    Partly Cloudy is a Pixar animated short film that humorously and tenderly explores the relationship between a cloud that creates unusual baby animals and the stork who delivers them.
  • D. BK3
    BK3 is a jam band led by Grateful Dead drummer Bill Kreutzmann, known for live improvisational rock performances.
  • E. BK3N
    BK3N is a small, faint dwarf galaxy that is a member of the nearby M81 Group of galaxies.
  • 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: BKN
Triple: [Bikaner Junction, stationCode, BKN]
Generated description
BKN is the Indian Railways station code for Bikaner Junction, a major railway station in the city of Bikaner, Rajasthan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BKN
Target entity description: BKN is the Indian Railways station code for Bikaner Junction, a major railway station in the city of Bikaner, Rajasthan.
  • A. BKN
    BKN is the standard three-letter abbreviation used for the Brooklyn Nets NBA franchise.
  • B. Overcast
    Overcast is a popular iOS podcast player app known for its smart features, clean design, and development by Marco Arment.
  • C. Partly Cloudy
    Partly Cloudy is a Pixar animated short film that humorously and tenderly explores the relationship between a cloud that creates unusual baby animals and the stork who delivers them.
  • D. BK3
    BK3 is a jam band led by Grateful Dead drummer Bill Kreutzmann, known for live improvisational rock performances.
  • E. BK3N
    BK3N is a small, faint dwarf galaxy that is a member of the nearby M81 Group of galaxies.
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb56c7da88190ac37986a2e766b1e completed April 2, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e019f788190a0106b60c8a39efa completed April 5, 2026, 7:23 a.m.
NEDg Description generation batch_69d20ed2dea481909fd9a9dddac3daf1 completed April 5, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69d20fef723881909d8d57548461926f completed April 5, 2026, 7:31 a.m.
Created at: March 30, 2026, 8:42 p.m.