Triple

T19025437
Position Surface form Disambiguated ID Type / Status
Subject Lucknow NR railway division E465596 entity
Predicate divisionCode P30519 FINISHED
Object LKO (NR)
LKO (NR) is the station and division code used by Indian Railways for the Lucknow division of the Northern Railway zone.
E324710 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: LKO (NR) | Statement: [Lucknow NR railway division, divisionCode, LKO (NR)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LKO (NR)
Context triple: [Lucknow NR railway division, divisionCode, LKO (NR)]
  • A. LKO
    LKO is the IATA airport code for Chaudhary Charan Singh International Airport serving Lucknow, India.
  • B. LNR
    LNR is the governing body responsible for organizing and managing professional rugby union leagues in France, including the Top 14 and Pro D2 competitions.
  • C. LKP
    LKP was a Dutch World War II resistance organization composed of armed groups that carried out sabotage, raids, and support operations against the German occupation.
  • D. LKA
    LKA is the three-letter ISO 3166-1 alpha-3 country code assigned to Sri Lanka.
  • E. LKL
    LKL is the premier professional basketball league in Lithuania, featuring the country’s top clubs and serving as its highest level of domestic competition.
  • 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: LKO (NR)
Triple: [Lucknow NR railway division, divisionCode, LKO (NR)]
Generated description
LKO (NR) is the station and division code used by Indian Railways for the Lucknow division of the Northern Railway zone.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LKO (NR)
Target entity description: LKO (NR) is the station and division code used by Indian Railways for the Lucknow division of the Northern Railway zone.
  • A. LKO chosen
    LKO is the IATA airport code for Chaudhary Charan Singh International Airport serving Lucknow, India.
  • B. LNR
    LNR is the governing body responsible for organizing and managing professional rugby union leagues in France, including the Top 14 and Pro D2 competitions.
  • C. LKP
    LKP was a Dutch World War II resistance organization composed of armed groups that carried out sabotage, raids, and support operations against the German occupation.
  • D. LKA
    LKA is the three-letter ISO 3166-1 alpha-3 country code assigned to Sri Lanka.
  • E. LKL
    LKL is the premier professional basketball league in Lithuania, featuring the country’s top clubs and serving as its highest level of domestic competition.
  • F. None of above.

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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6e271848190b67ad08af35b6796 completed April 20, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be56412081909ff1053248e7145a completed May 14, 2026, 12:21 p.m.
NEDg Description generation batch_6a05bfc05b70819081466bad1b6fdda1 completed May 14, 2026, 12:27 p.m.
NED2 Entity disambiguation (via description) batch_6a05c0283b08819089ad422861efbcbb completed May 14, 2026, 12:29 p.m.
Created at: April 10, 2026, 12:02 p.m.