Triple

T7248641
Position Surface form Disambiguated ID Type / Status
Subject RJBE E156538 entity
Predicate iataCode P2569 FINISHED
Object UKB E156537 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: UKB | Statement: [RJBE, iataCode, UKB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UKB
Context triple: [RJBE, iataCode, UKB]
  • A. UKB
    UKB is the abbreviation commonly used for University Hospital Bonn, a major academic medical center in Bonn, Germany.
  • B. UKB chosen
    UKB is the IATA airport code for Kobe Airport, a regional airport serving the city of Kobe in Japan.
  • C. UKX
    UKX is the stock market index code used to represent the FTSE 100, a benchmark index of the largest companies listed on the London Stock Exchange.
  • D. UKBB
    UKBB is the ICAO airport code designating Boryspil International Airport, the main international gateway serving Kyiv, Ukraine.
  • E. NKGB
    NKGB was a Soviet state security and intelligence agency that operated before the formation of the KGB, handling internal security, counterintelligence, and secret police functions.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea763f208190af1210cd8d2a05c9 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e523149481909bbc7dd88046e8b0 completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:56 p.m.