Triple

T23495692
Position Surface form Disambiguated ID Type / Status
Subject Legal Information Institute E571699 entity
Predicate alsoKnownAs P39 FINISHED
Object LII
LII is a pioneering online resource that provides free access to legal information, including statutes, case law, and legal commentary, to the public.
E1588551 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: LII | Statement: [Legal Information Institute, alsoKnownAs, LII]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LII
Context triple: [Legal Information Institute, alsoKnownAs, LII]
  • A. L II
    L II is the royal monogram used by King Leopold II of Belgium, typically combining his initial and regnal number in a stylized emblem.
  • B. LI
    LI is the common abbreviation for London Irish Rugby Football Club, a professional rugby union team historically based in London and associated with the Irish community.
  • C. LI
    LI is the Roman numeral representing the number 51.
  • D. LI
    LI is the stock ticker symbol for Li Auto Inc., a Chinese electric vehicle manufacturer listed on the Nasdaq and Hong Kong stock exchanges.
  • E. LI
    LI is the vehicle registration and administrative code for the Italian province of Livorno in Tuscany.
  • 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: LII
Triple: [Legal Information Institute, alsoKnownAs, LII]
Generated description
LII is a pioneering online resource that provides free access to legal information, including statutes, case law, and legal commentary, to the public.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LII
Target entity description: LII is a pioneering online resource that provides free access to legal information, including statutes, case law, and legal commentary, to the public.
  • A. L II
    L II is the royal monogram used by King Leopold II of Belgium, typically combining his initial and regnal number in a stylized emblem.
  • B. LI
    LI is the Roman numeral representing the number 51.
  • C. LI
    LI is the common abbreviation for London Irish Rugby Football Club, a professional rugby union team historically based in London and associated with the Irish community.
  • D. LI
    LI is the stock ticker symbol for Li Auto Inc., a Chinese electric vehicle manufacturer listed on the Nasdaq and Hong Kong stock exchanges.
  • E. LI
    LI is the vehicle registration and administrative code for the Italian province of Livorno in Tuscany.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7e00384819092729319a378d4ab completed April 29, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c8271bd388190acc97e26e5c142f8 completed May 19, 2026, 3:32 p.m.
NEDg Description generation batch_6a0ca6f229308190bf72b52fd44144d3 completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca7e9e9988190ac3bedb9ecb8ce06 completed May 19, 2026, 6:11 p.m.
Created at: April 17, 2026, 6:05 p.m.