Triple

T14157127
Position Surface form Disambiguated ID Type / Status
Subject Andrássy út 60 building E350841 entity
Predicate usedBy P260 FINISHED
Object ÁVH E192289 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: ÁVH | Statement: [Andrássy út 60 building, usedBy, ÁVH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ÁVH
Context triple: [Andrássy út 60 building, usedBy, ÁVH]
  • A. ÁVH chosen
    ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
  • B. AV.
    AV. is the stock ticker symbol for Aviva plc, a major British multinational insurance, savings, and retirement services company listed on the London Stock Exchange.
  • C. AVV
    AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
  • D. AVC
    AVC is the U.S. State Department bureau responsible for overseeing arms control, nonproliferation, and verification and compliance with related international agreements.
  • E. AV
    AV is the Italian vehicle registration code assigned to the province of Avellino in the Campania region.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61377de48190a3470d28f0edd34a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ef4d80819098d210503f5d22e9 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 12:58 a.m.