Triple

T237511
Position Surface form Disambiguated ID Type / Status
Subject Australian Capital Territory E4853 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object ACT
ACT is the standard vehicle registration code used for the Australian Capital Territory in Australia.
 E30706 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: ACT | Statement: [Australian Capital Territory, hasVehicleRegistrationCode, ACT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ACT
Context triple: [Australian Capital Territory, hasVehicleRegistrationCode, ACT]
  • A. ACT
    ACT is a standardized college admissions test in the United States that assesses high school students' readiness for college-level work.
  • B. ACE
    ACE (Altamont Corridor Express) is a commuter rail service in California’s San Joaquin Valley and East Bay that provides weekday trains between Stockton and San Jose.
  • C. SAT
    The SAT is a standardized college admissions test widely used in the United States to assess high school students' readiness for undergraduate study.
  • D. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • E. ATE
    ATE is a U.S. National Science Foundation program that supports the education and training of technicians for advanced technology fields through partnerships between two-year colleges, industry, and other educational institutions.
  • 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: ACT
Triple: [Australian Capital Territory, hasVehicleRegistrationCode, ACT]
Generated description
ACT is the standard vehicle registration code used for the Australian Capital Territory in Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ACT
Target entity description: ACT is the standard vehicle registration code used for the Australian Capital Territory in Australia.
  • A. ACT
    ACT is a standardized college admissions test in the United States that assesses high school students' readiness for college-level work.
  • B. ACE
    ACE (Altamont Corridor Express) is a commuter rail service in California’s San Joaquin Valley and East Bay that provides weekday trains between Stockton and San Jose.
  • C. SAT
    The SAT is a standardized college admissions test widely used in the United States to assess high school students' readiness for undergraduate study.
  • D. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • E. ATE
    ATE is a U.S. National Science Foundation program that supports the education and training of technicians for advanced technology fields through partnerships between two-year colleges, industry, and other educational institutions.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ccc5d548190b505bf1d99db41bd completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36735dff881908ed9cefbf6f5e09d completed Feb. 28, 2026, 10:07 p.m.
NEDg Description generation batch_69a367d82e9c8190ae1bcc99232a24fa completed Feb. 28, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69a3689a2970819087306bff495a4a3a completed Feb. 28, 2026, 10:13 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.