Triple

T8193732
Position Surface form Disambiguated ID Type / Status
Subject Vijayawada Junction railway station E191375 entity
Predicate stationCode P1289 FINISHED
Object BZA
BZA is the station code for Vijayawada Junction, one of the busiest and most important railway hubs in the Indian Railways network.
 E718350 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: BZA | Statement: [Vijayawada Junction railway station, stationCode, BZA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BZA
Context triple: [Vijayawada Junction railway station, stationCode, BZA]
  • A. BZ
    BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
  • B. BZ
    BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
  • C. BZ
    BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
  • D. BZ
    BZ is the vehicle registration code used for the district and city of Bautzen in the German state of Saxony.
  • E. BZE
    BZE is the IATA airport code for Philip S. W. Goldson International Airport, the main international gateway serving Belize.
  • 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: BZA
Triple: [Vijayawada Junction railway station, stationCode, BZA]
Generated description
BZA is the station code for Vijayawada Junction, one of the busiest and most important railway hubs in the Indian Railways network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BZA
Target entity description: BZA is the station code for Vijayawada Junction, one of the busiest and most important railway hubs in the Indian Railways network.
  • A. BZ
    BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
  • B. BZ
    BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
  • C. BZ
    BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
  • D. BZ
    BZ is the vehicle registration code used for the district and city of Bautzen in the German state of Saxony.
  • E. BZE
    BZE is the IATA airport code for Philip S. W. Goldson International Airport, the main international gateway serving Belize.
  • 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_69ca82c6e9548190a4c5ca14516e4417 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5c1f02248190adbe56a7d6be3419 completed March 31, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cceda1b22c8190acc1a2cd0fe36b70 completed April 1, 2026, 10:04 a.m.
NEDg Description generation batch_69ccf1b706f08190993f4a75eac5f49c completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd059457788190a900402ee4cd50d5 completed April 1, 2026, 11:46 a.m.
Created at: March 30, 2026, 5:42 p.m.