Triple

T8524499
Position Surface form Disambiguated ID Type / Status
Subject Imperial Beach E201776 entity
Predicate regionCode P208 FINISHED
Object CA
CA is the U.S. state of California, located on the West Coast and known for its diverse landscapes, large population, and major cultural and economic influence.
E232784 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: [Imperial Beach, regionCode, CA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CA
Context triple: [Imperial Beach, regionCode, CA]
  • A. CA
    CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
  • B. 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.
  • C. CA
    CA is the official abbreviation used for the professional head of the Australian Army.
  • D. 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.
  • E. CA
    CA is the abbreviation for the Canadian Alliance, a former federal political party in Canada that existed from 2000 to 2003 and later merged into the Conservative Party of Canada.
  • 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: [Imperial Beach, regionCode, CA]
Generated description
CA is the U.S. state of California, located on the West Coast and known for its diverse landscapes, large population, and major cultural and economic influence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CA
Target entity description: CA is the U.S. state of California, located on the West Coast and known for its diverse landscapes, large population, and major cultural and economic influence.
  • A. CA chosen
    CA is the two-letter U.S. postal abbreviation for the state of California.
  • B. CA
    CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
  • C. 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.
  • 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 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.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe644c4648190a14dcaeaa90d72c7 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e9219108190979430a4308fc4c5 completed April 2, 2026, 11:10 a.m.
NEDg Description generation batch_69ce5028c38c81908e81390d0be21387 completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce517fea7c819098d0343fd2c4ccdd completed April 2, 2026, 11:22 a.m.
Created at: March 30, 2026, 6:16 p.m.