Triple

T1149714
Position Surface form Disambiguated ID Type / Status
Subject Ambleside E23647 entity
Predicate postcodeArea P920 FINISHED
Object LA
LA is the postcode area covering Lancaster and surrounding parts of north-west England, including parts of Cumbria and Lancashire.
 E176143 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: [Ambleside, postcodeArea, LA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LA
Context triple: [Ambleside, postcodeArea, LA]
  • A. LA
    LA is the IATA airline designator used by LATAM Airlines Group, a major South American airline conglomerate.
  • B. Los Angeles
    Los Angeles is a major U.S. metropolis known for its entertainment industry, cultural diversity, and sprawling urban landscape.
  • C. CA
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • D. CAL
    CAL is the ICAO airline designator used to identify China Airlines in international aviation operations.
  • E. Malibu, California
    Malibu, California is a coastal city in Los Angeles County known for its scenic beaches, affluent residential communities, and role as a hub for entertainment industry professionals.
  • 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: [Ambleside, postcodeArea, LA]
Generated description
LA is the postcode area covering Lancaster and surrounding parts of north-west England, including parts of Cumbria and Lancashire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LA
Target entity description: LA is the postcode area covering Lancaster and surrounding parts of north-west England, including parts of Cumbria and Lancashire.
  • A. LA
    LA is the IATA airline designator used by LATAM Airlines Group, a major South American airline conglomerate.
  • B. Los Angeles
    Los Angeles is a major U.S. metropolis known for its entertainment industry, cultural diversity, and sprawling urban landscape.
  • C. CA
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • D. CAL
    CAL is the ICAO airline designator used to identify China Airlines in international aviation operations.
  • E. Malibu, California
    Malibu, California is a coastal city in Los Angeles County known for its scenic beaches, affluent residential communities, and role as a hub for entertainment industry professionals.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc730b008190bd0901e0a47a4b7a completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad307e887c81909f81473a2f02c2ba completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad34696ec88190b6c5eb2070041cb6 completed March 8, 2026, 8:33 a.m.
NED2 Entity disambiguation (via description) batch_69ad348789348190a13720ccb760489f completed March 8, 2026, 8:34 a.m.
Created at: March 1, 2026, 7:44 p.m.