Triple

T1079742
Position Surface form Disambiguated ID Type / Status
Subject Basic Multilingual Plane E23919 entity
Predicate alsoKnownAs P39 FINISHED
Object BMP
BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
 E123124 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: BMP | Statement: [Basic Multilingual Plane, alsoKnownAs, BMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BMP
Context triple: [Basic Multilingual Plane, alsoKnownAs, BMP]
  • A. PNG
    PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
  • B. BMT
    BMT (Brooklyn–Manhattan Transit Corporation) was a major private New York City subway operator whose lines now form one of the primary divisions of the modern NYC Subway system.
  • C. BSP
    BSP is an acronym used by the International Air Transport Association (IATA) for its Billing and Settlement Plan, a system that streamlines financial transactions between travel agents and airlines.
  • D. BSP
    BSP is the Bangko Sentral ng Pilipinas, the central bank of the Philippines responsible for monetary policy, financial stability, and currency issuance.
  • E. .bd
    .bd is the country code top-level domain (ccTLD) assigned to Bangladesh for use in internet addresses.
  • 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: BMP
Triple: [Basic Multilingual Plane, alsoKnownAs, BMP]
Generated description
BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BMP
Target entity description: BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
  • A. PNG
    PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
  • B. BMT
    BMT (Brooklyn–Manhattan Transit Corporation) was a major private New York City subway operator whose lines now form one of the primary divisions of the modern NYC Subway system.
  • C. BSP
    BSP is the Bangko Sentral ng Pilipinas, the central bank of the Philippines responsible for monetary policy, financial stability, and currency issuance.
  • D. BSP
    BSP is an acronym used by the International Air Transport Association (IATA) for its Billing and Settlement Plan, a system that streamlines financial transactions between travel agents and airlines.
  • E. .bd
    .bd is the country code top-level domain (ccTLD) assigned to Bangladesh for use in internet addresses.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b94509d08190964509ea4a2d7912 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42addb188190a26dd3071abf64d6 completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac432a8a9881908c1199f7974e1491 completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43a44c5481909b0427a7461c8dfb completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:42 p.m.