Triple

T2990643
Position Surface form Disambiguated ID Type / Status
Subject Cagliari E80741 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object CA
CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
E316324 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: [Cagliari, vehicleRegistrationCode, CA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CA
Context triple: [Cagliari, vehicleRegistrationCode, 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. CAL
    CAL is the ICAO airline designator used to identify China Airlines in international aviation operations.
  • E. LA
    LA is the standard abbreviation for the Lord Advocate, the chief legal officer of the Scottish Government and the Crown in Scotland.
  • 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: [Cagliari, vehicleRegistrationCode, CA]
Generated description
CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CA
Target entity description: CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
  • 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. CAL
    CAL is the ICAO airline designator used to identify China Airlines in international aviation operations.
  • E. LA
    LA is the standard abbreviation for the Lord Advocate, the chief legal officer of the Scottish Government and the Crown in Scotland.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99de55208190bc56ecbe08638e5a completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b10900bf2481908b7742604c6d75e9 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10bda5d848190af553c5f245b165d completed March 11, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69b10c9198288190a3e3ea7112ea4460 completed March 11, 2026, 6:32 a.m.
Created at: March 8, 2026, 2:59 p.m.