Triple

T5445466
Position Surface form Disambiguated ID Type / Status
Subject Kanpur Central railway station E122237 entity
Predicate stationCode P1289 FINISHED
Object CNB
CNB is the Indian Railways station code for Kanpur Central, a major railway junction in Uttar Pradesh, India.
 E520993 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: CNB | Statement: [Kanpur Central railway station, stationCode, CNB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CNB
Context triple: [Kanpur Central railway station, stationCode, CNB]
  • A. CBNB
    CBNB is a specialized chemical database, likely focused on chemical substances and related data, accessible through the Engineering Village research platform.
  • B. BNM
    BNM is the central bank of Malaysia, responsible for issuing currency, formulating monetary policy, and overseeing the country’s financial system.
  • C. NBU
    NBU is the central bank of Ukraine, responsible for the country’s monetary policy, currency stability, and regulation of the banking system.
  • D. NBP
    NBP is the commonly used abbreviation for the New Bilibid Prison, the Philippines’ main national penitentiary located in Muntinlupa City.
  • E. CBK
    CBK is the Central Bank of Kenya, the national monetary authority responsible for issuing currency and formulating and implementing the country’s monetary policy.
  • 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: CNB
Triple: [Kanpur Central railway station, stationCode, CNB]
Generated description
CNB is the Indian Railways station code for Kanpur Central, a major railway junction in Uttar Pradesh, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CNB
Target entity description: CNB is the Indian Railways station code for Kanpur Central, a major railway junction in Uttar Pradesh, India.
  • A. CBNB
    CBNB is a specialized chemical database, likely focused on chemical substances and related data, accessible through the Engineering Village research platform.
  • B. BNM
    BNM is the central bank of Malaysia, responsible for issuing currency, formulating monetary policy, and overseeing the country’s financial system.
  • C. NBU
    NBU is the central bank of Ukraine, responsible for the country’s monetary policy, currency stability, and regulation of the banking system.
  • D. NBP
    NBP is the commonly used abbreviation for the New Bilibid Prison, the Philippines’ main national penitentiary located in Muntinlupa City.
  • E. CBK
    CBK is the Central Bank of Kenya, the national monetary authority responsible for issuing currency and formulating and implementing the country’s monetary policy.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ce3e4081908e11a731416c0378 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf413573c08190beae400c485d2132 completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf4364b2f48190b69cc27ca6900892 completed March 22, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_69bf43b523a88190938662ae89eba502 completed March 22, 2026, 1:19 a.m.
Created at: March 20, 2026, 2:07 p.m.