Triple

T1064497
Position Surface form Disambiguated ID Type / Status
Subject Central Registration Depository E22978 entity
Predicate dataModelIncludes P13313 FINISHED
Object Form U5
Form U5 is a regulatory document used by broker-dealers to terminate or update the registration of associated persons in the securities industry.
 E123936 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: Form U5 | Statement: [Central Registration Depository, dataModelIncludes, Form U5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Form U5
Context triple: [Central Registration Depository, dataModelIncludes, Form U5]
  • A. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • B. The U
    The U is the popular nickname of the Philadelphia Union, a professional Major League Soccer club based in the Philadelphia metropolitan area.
  • C. The U
    The U is the widely recognized nickname and athletic brand of the University of Miami, especially associated with its prominent Hurricanes sports programs.
  • D. UL
    UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
  • E. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • 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: Form U5
Triple: [Central Registration Depository, dataModelIncludes, Form U5]
Generated description
Form U5 is a regulatory document used by broker-dealers to terminate or update the registration of associated persons in the securities industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Form U5
Target entity description: Form U5 is a regulatory document used by broker-dealers to terminate or update the registration of associated persons in the securities industry.
  • A. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • B. The U
    The U is the popular nickname of the Philadelphia Union, a professional Major League Soccer club based in the Philadelphia metropolitan area.
  • C. The U
    The U is the widely recognized nickname and athletic brand of the University of Miami, especially associated with its prominent Hurricanes sports programs.
  • D. UL
    UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
  • E. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bb7320f88190a8428946541df157 completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a14b548190a796e49c545c9a9e completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac4311f7f08190ae86aacb7f2103d7 completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43891ed88190a5b8b51341e98929 completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:42 p.m.