Triple

T6728873
Position Surface form Disambiguated ID Type / Status
Subject Armathwaite E153584 entity
Predicate hasPostcodeArea P920 FINISHED
Object CA
CA is a postcode area in the United Kingdom covering Carlisle and surrounding parts of Cumbria and nearby regions in north-west England.
E608202 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: CA | Statement: [Armathwaite, hasPostcodeArea, CA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CA
Context triple: [Armathwaite, hasPostcodeArea, CA]
  • A. CA
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • B. CA
    CA is the two-letter U.S. postal abbreviation for the state of California.
  • C. CA
    CA is the IATA airline designator assigned to Air China, the flag carrier of the People's Republic of China.
  • D. CA
    CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
  • E. CA
    CA is the commonly used abbreviation for the Court of Appeals of the Philippines, the country's second-highest judicial body that reviews decisions of lower courts and quasi-judicial agencies.
  • 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: CA
Triple: [Armathwaite, hasPostcodeArea, CA]
Generated description
CA is a postcode area in the United Kingdom covering Carlisle and surrounding parts of Cumbria and nearby regions in north-west England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CA
Target entity description: CA is a postcode area in the United Kingdom covering Carlisle and surrounding parts of Cumbria and nearby regions in north-west England.
  • A. CA chosen
    CA is the postcode area covering Carlisle and surrounding parts of Cumbria in north-west England.
  • B. CA
    CA is the abbreviated name for the Council of Administration, one of the main governing bodies of the Universal Postal Union responsible for overseeing its operations and policy implementation.
  • C. CA
    CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
  • D. CA
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • E. CA
    CA is the two-letter U.S. postal abbreviation for the state of California.
  • F. None of above.

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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d153ef9c8190a31021227d814d82 completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7129cb39c8190beb02f0d7ea19d8a completed March 27, 2026, 11:28 p.m.
NEDg Description generation batch_69c713306b5081908161d3ec6a64cc85 completed March 27, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69c713de76d081908b275590d311d5fd completed March 27, 2026, 11:33 p.m.
Created at: March 27, 2026, 2:08 p.m.