Triple

T4633637
Position Surface form Disambiguated ID Type / Status
Subject Chief of Army (Australia) E101475 entity
Predicate hasAbbreviation P43 FINISHED
Object CA
CA is the official abbreviation used for the professional head of the Australian Army.
E458700 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: [Chief of Army (Australia), hasAbbreviation, CA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CA
Context triple: [Chief of Army (Australia), hasAbbreviation, 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: [Chief of Army (Australia), hasAbbreviation, CA]
Generated description
CA is the official abbreviation used for the professional head of the Australian Army.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CA
Target entity description: CA is the official abbreviation used for the professional head of the Australian Army.
  • A. 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.
  • B. CA
    CA is the two-letter U.S. postal abbreviation for the state of California.
  • C. CA
    CA is the commonly used abbreviation for Club Africain, a major Tunisian multi-sport club best known for its football team based in Tunis.
  • 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 vehicle registration code used on license plates for the Italian city of Cagliari.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a5d0de881909baacc5b991f5b53 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfac317248190a8886d59d2242acb completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfceda19c8190909c21594ea792a0 completed March 21, 2026, 2:05 a.m.
NED2 Entity disambiguation (via description) batch_69bdfd7790748190b322d7f8109fa887 completed March 21, 2026, 2:07 a.m.
Created at: March 20, 2026, 1:13 p.m.