Triple

T13621946
Position Surface form Disambiguated ID Type / Status
Subject Arad E325477 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object AR E785222 NE FINISHED

How this triple was built (2 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: AR | Statement: [Arad, vehicleRegistrationCode, AR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AR
Context triple: [Arad, vehicleRegistrationCode, AR]
  • A. AR
    AR is the commonly used abbreviation for the Assembly of the Republic, the unicameral national parliament of Portugal.
  • B. AR
    AR is the two-letter IATA airline designator assigned to Aerolíneas Argentinas, the flag carrier of Argentina.
  • C. AR
    AR is the commonly used abbreviation for the Assam Rifles, a paramilitary force of India responsible for security and counterinsurgency operations in the Northeast region.
  • D. AR
    AR is the commonly used abbreviation for Adventist Review, a leading magazine of the Seventh-day Adventist Church.
  • E. AR chosen
    AR is the vehicle registration code used for the Italian Province of Arezzo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe99ddc08190a8d79107c8e176fa completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa291f48190a0ee7a228ea303bc completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.