Triple

T9705379
Position Surface form Disambiguated ID Type / Status
Subject Nashik Road railway station E234884 entity
Predicate stationCode P1289 FINISHED
Object NK
NK is the station code for Nashik Road railway station, a major rail hub serving the city of Nashik in Maharashtra, India.
 E815190 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: NK | Statement: [Nashik Road railway station, stationCode, NK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NK
Context triple: [Nashik Road railway station, stationCode, NK]
  • A. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • B. NK
    NK is the vehicle registration code used on license plates for the Neunkirchen district in Germany.
  • C. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • D. NKo
    NKo is a Unicode block that encodes the characters of the N’Ko script used for writing several West African Mande languages.
  • E. N
    The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
  • 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: NK
Triple: [Nashik Road railway station, stationCode, NK]
Generated description
NK is the station code for Nashik Road railway station, a major rail hub serving the city of Nashik in Maharashtra, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NK
Target entity description: NK is the station code for Nashik Road railway station, a major rail hub serving the city of Nashik in Maharashtra, India.
  • A. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • B. NK
    NK is the vehicle registration code used on license plates for the Neunkirchen district in Germany.
  • C. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • D. NKo
    NKo is a Unicode block that encodes the characters of the N’Ko script used for writing several West African Mande languages.
  • E. N
    The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9da369b4819081f6ce01289ed725 completed April 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19136b40c8190922052dd84d49f15 completed April 4, 2026, 10:31 p.m.
NEDg Description generation batch_69d193623fac8190a8dcdac664a977f3 completed April 4, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69d193cc61208190b98fe862b295dda3 completed April 4, 2026, 10:42 p.m.
Created at: March 30, 2026, 8:19 p.m.