Triple

T17998576
Position Surface form Disambiguated ID Type / Status
Subject Lord Justice Clerk E430564 entity
Predicate alsoKnownAs P39 FINISHED
Object LJC
LJC is the commonly used abbreviation for the Lord Justice Clerk, the second most senior judge in Scotland’s judiciary.
 E1300613 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: LJC | Statement: [Lord Justice Clerk, alsoKnownAs, LJC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LJC
Context triple: [Lord Justice Clerk, alsoKnownAs, LJC]
  • A. LCJ
    LCJ is the IATA airport code for Łódź Władysław Reymont Airport in Łódź, Poland.
  • B. LJU
    LJU is the UN/LOCODE designation for Ljubljana Jože Pučnik Airport, the main international airport serving Ljubljana, Slovenia.
  • C. JLC
    JLC is the commonly used abbreviation for the Young Liberals of Canada, the youth wing of the Liberal Party of Canada.
  • D. L.J.
    L.J. is a comic-relief survivor and ally of the protagonists in the film Resident Evil: Apocalypse, known for his streetwise attitude and humorous one-liners amid the zombie outbreak.
  • E. LJ
    LJ is the third-generation model of the Holden Torana, a compact Australian car produced in the early 1970s and known for its performance-oriented variants.
  • 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: LJC
Triple: [Lord Justice Clerk, alsoKnownAs, LJC]
Generated description
LJC is the commonly used abbreviation for the Lord Justice Clerk, the second most senior judge in Scotland’s judiciary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LJC
Target entity description: LJC is the commonly used abbreviation for the Lord Justice Clerk, the second most senior judge in Scotland’s judiciary.
  • A. LCJ
    LCJ is the IATA airport code for Łódź Władysław Reymont Airport in Łódź, Poland.
  • B. LJU
    LJU is the UN/LOCODE designation for Ljubljana Jože Pučnik Airport, the main international airport serving Ljubljana, Slovenia.
  • C. JLC
    JLC is the commonly used abbreviation for the Young Liberals of Canada, the youth wing of the Liberal Party of Canada.
  • D. L.J.
    L.J. is a comic-relief survivor and ally of the protagonists in the film Resident Evil: Apocalypse, known for his streetwise attitude and humorous one-liners amid the zombie outbreak.
  • E. LJ
    LJ is the third-generation model of the Holden Torana, a compact Australian car produced in the early 1970s and known for its performance-oriented variants.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b3e6a2a881908af2d0a4a5053916 completed April 19, 2026, 10:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0337b29fe08190a5142e049d401494 completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a033ca6a2608190a391694153070cc8 completed May 12, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_6a033d6bf3f48190ac141febc04608f6 completed May 12, 2026, 2:47 p.m.
Created at: April 10, 2026, 10:23 a.m.