Triple

T18975941
Position Surface form Disambiguated ID Type / Status
Subject Bhavnagar Terminus E464295 entity
Predicate hasStationCode P1289 FINISHED
Object BVC
BVC is the Indian Railways station code for Bhavnagar Terminus railway station in Gujarat, India.
 E1352782 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: BVC | Statement: [Bhavnagar Terminus, hasStationCode, BVC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BVC
Context triple: [Bhavnagar Terminus, hasStationCode, BVC]
  • A. BVC
    BVC is the IATA airport code for Aristides Pereira International Airport serving Boa Vista Island in Cape Verde.
  • B. BCV
    BCV is the IATA airport code for Hector Silva Airstrip, a public airfield serving the Belmopan area in Belize.
  • C. BCV
    BCV is the central bank of Cape Verde, responsible for issuing the national currency and overseeing the country’s monetary policy and financial stability.
  • D. BCV
    BCV is the National Rail station code for Bruce Grove railway station in London, England.
  • E. BCV
    BCV is the acronym commonly used for the Central Bank of Venezuela, the institution responsible for the country's monetary policy and currency issuance.
  • 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: BVC
Triple: [Bhavnagar Terminus, hasStationCode, BVC]
Generated description
BVC is the Indian Railways station code for Bhavnagar Terminus railway station in Gujarat, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BVC
Target entity description: BVC is the Indian Railways station code for Bhavnagar Terminus railway station in Gujarat, India.
  • A. BVC
    BVC is the IATA airport code for Aristides Pereira International Airport serving Boa Vista Island in Cape Verde.
  • B. BCV
    BCV is the IATA airport code for Hector Silva Airstrip, a public airfield serving the Belmopan area in Belize.
  • C. BCV
    BCV is the central bank of Cape Verde, responsible for issuing the national currency and overseeing the country’s monetary policy and financial stability.
  • D. BCV
    BCV is the National Rail station code for Bruce Grove railway station in London, England.
  • E. BCV
    BCV is the acronym commonly used for the Central Bank of Venezuela, the institution responsible for the country's monetary policy and currency issuance.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d61f96c88190b9a25158e0b012ca completed April 20, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05ad3da2a881908488f18f35a34428 completed May 14, 2026, 11:08 a.m.
NEDg Description generation batch_6a05af056a0c8190969f3b7a371aa453 completed May 14, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_6a05afb1c02481909018f47be226f486 completed May 14, 2026, 11:19 a.m.
Created at: April 10, 2026, noon