Triple

T10296269
Position Surface form Disambiguated ID Type / Status
Subject Biella E241495 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object BI
BI is the vehicle registration code used on license plates for the Italian city and province of Biella.
 E856008 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: BI | Statement: [Biella, vehicleRegistrationCode, BI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BI
Context triple: [Biella, vehicleRegistrationCode, BI]
  • A. BI
    BI is the commonly used abbreviation for Bank Indonesia, the central bank of the Republic of Indonesia responsible for monetary policy and financial system stability.
  • B. BI
    BI is the vehicle registration code used on license plates for the city of Bihać in Bosnia and Herzegovina.
  • C. BJ
    BJ is the stock ticker symbol for BJ's Wholesale Club, a U.S.-based membership-only warehouse club chain.
  • D. DI
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • E. CI
    CI is the station code used to identify Central Islip station on the Long Island Rail Road.
  • 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: BI
Triple: [Biella, vehicleRegistrationCode, BI]
Generated description
BI is the vehicle registration code used on license plates for the Italian city and province of Biella.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BI
Target entity description: BI is the vehicle registration code used on license plates for the Italian city and province of Biella.
  • A. BI
    BI is the commonly used abbreviation for Bank Indonesia, the central bank of the Republic of Indonesia responsible for monetary policy and financial system stability.
  • B. BI
    BI is the vehicle registration code used on license plates for the city of Bihać in Bosnia and Herzegovina.
  • C. BJ
    BJ is the stock ticker symbol for BJ's Wholesale Club, a U.S.-based membership-only warehouse club chain.
  • D. DI
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • E. CI
    CI is the station code used to identify Central Islip station on the Long Island Rail Road.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ea9b3c8190b11518b259d5825c completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d23f49081909aea149c6b219354 completed April 9, 2026, 3:29 a.m.
NEDg Description generation batch_69d73182d7548190ac15093aa7001db7 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d7336c06308190ac72154134a26842 completed April 9, 2026, 5:04 a.m.
Created at: April 6, 2026, 11:43 a.m.