Triple

T17651636
Position Surface form Disambiguated ID Type / Status
Subject Real Academia de la Historia E429504 entity
Predicate abbreviation P43 FINISHED
Object RAH NE NERFINISHED

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: RAH | Statement: [Real Academia de la Historia, abbreviation, RAH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RAH
Context triple: [Real Academia de la Historia, abbreviation, RAH]
  • A. RAH chosen
    RAH is the abbreviation for the Real Academia de la Historia, Spain’s national institution dedicated to the research, preservation, and promotion of the country’s historical heritage.
  • B. RÅH
    RÅH is the station code for Rådhuset, a Stockholm metro station on the blue line located near the City Hall on Kungsholmen.
  • C. RAKh
    RAKh is the abbreviated name of the Russian Academy of Arts, a major state institution overseeing and promoting the visual arts in Russia.
  • D. RH
    RH is a postcode area in the United Kingdom covering parts of Surrey and West Sussex, including towns such as Redhill, Crawley, and Horsham.
  • E. ROAH
    ROAH is the ICAO airport code for Naha Airport, the primary air gateway to Okinawa, Japan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3d4948819084de72bed922be6e completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:05 a.m.