Triple

T1961823
Position Surface form Disambiguated ID Type / Status
Subject Lord Advocate E42603 entity
Predicate hasAbbreviation P43 FINISHED
Object LA
LA is the standard abbreviation for the Lord Advocate, the chief legal officer of the Scottish Government and the Crown in Scotland.
 E218836 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: LA | Statement: [Lord Advocate, hasAbbreviation, LA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LA
Context triple: [Lord Advocate, hasAbbreviation, LA]
  • A. LA
    LA is the postcode area covering Lancaster and surrounding parts of north-west England, including parts of Cumbria and Lancashire.
  • B. LA
    LA is the IATA airline designator used by LATAM Airlines Group, a major South American airline conglomerate.
  • C. LA
    LA is the official two-letter U.S. Postal Service abbreviation for the state of Louisiana.
  • D. Los Angeles
    Los Angeles is a major U.S. metropolis known for its entertainment industry, cultural diversity, and sprawling urban landscape.
  • E. CA
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • 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: LA
Triple: [Lord Advocate, hasAbbreviation, LA]
Generated description
LA is the standard abbreviation for the Lord Advocate, the chief legal officer of the Scottish Government and the Crown in Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LA
Target entity description: LA is the standard abbreviation for the Lord Advocate, the chief legal officer of the Scottish Government and the Crown in Scotland.
  • A. LA
    LA is the IATA airline designator used by LATAM Airlines Group, a major South American airline conglomerate.
  • B. LA
    LA is the postcode area covering Lancaster and surrounding parts of north-west England, including parts of Cumbria and Lancashire.
  • C. LA
    LA is the official two-letter U.S. Postal Service abbreviation for the state of Louisiana.
  • D. Los Angeles
    Los Angeles is a major U.S. metropolis known for its entertainment industry, cultural diversity, and sprawling urban landscape.
  • E. CA
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3aae8c48190afae2cf3af2ae4e9 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd133908190add1c78d91a813ef completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6d7fb08190959ee247d0060f4c completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfd2f68f48190ad23db5ca6ae663a completed March 8, 2026, 10:50 p.m.
Created at: March 4, 2026, 7:36 p.m.