Triple

T5943975
Position Surface form Disambiguated ID Type / Status
Subject Meerut Cantt railway station E132234 entity
Predicate hasStationCode P1289 FINISHED
Object MUT
MUT is the station code for Meerut Cantt railway station in Uttar Pradesh, India.
 E557497 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: MUT | Statement: [Meerut Cantt railway station, hasStationCode, MUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MUT
Context triple: [Meerut Cantt railway station, hasStationCode, MUT]
  • A. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • B. MUR
    MUR is the stock ticker symbol for Murray & Roberts Holdings Ltd, a South African engineering and construction services company listed on the Johannesburg Stock Exchange.
  • C. MU
    MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
  • D. MU
    MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
  • E. MYT
    MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
  • 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: MUT
Triple: [Meerut Cantt railway station, hasStationCode, MUT]
Generated description
MUT is the station code for Meerut Cantt railway station in Uttar Pradesh, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MUT
Target entity description: MUT is the station code for Meerut Cantt railway station in Uttar Pradesh, India.
  • A. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • B. MUR
    MUR is the stock ticker symbol for Murray & Roberts Holdings Ltd, a South African engineering and construction services company listed on the Johannesburg Stock Exchange.
  • C. MU
    MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
  • D. MU
    MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
  • E. MYT
    MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03937b4a88190819a1fd63fc3d3ed completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c084fce481909c306d6eeb99066d completed March 23, 2026, 4:24 a.m.
NEDg Description generation batch_69c0c19665b08190ab3c66b7c6c33f61 completed March 23, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0c4576824819080ced71df8fdda6c completed March 23, 2026, 4:40 a.m.
Created at: March 22, 2026, 4:01 p.m.