Triple

T4045345
Position Surface form Disambiguated ID Type / Status
Subject Nuremberg Airport E84051 entity
Predicate hasAirportCode P6089 FINISHED
Object NUE E408444 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: NUE | Statement: [Nuremberg Airport, hasAirportCode, NUE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NUE
Context triple: [Nuremberg Airport, hasAirportCode, NUE]
  • A. NUE chosen
    NUE is the three-letter IATA airport code for Nuremberg Airport in Nuremberg, Germany.
  • B. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • C. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • D. NU
    NU is the two-letter ISO 3166 country code for Niue, a small island nation in the South Pacific Ocean.
  • E. NE
    NE is the two-letter ISO 3166-1 alpha-2 country code assigned to Niger.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb5f85d48190ba80a0a24fbe438a completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5629c312c8190b89af732e2ad0fa3 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:37 p.m.