Triple

T8685991
Position Surface form Disambiguated ID Type / Status
Subject Varna Airport E206159 entity
Predicate hasCode P9567 FINISHED
Object LBWN E751336 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: LBWN | Statement: [Varna Airport, hasCode, LBWN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LBWN
Context triple: [Varna Airport, hasCode, LBWN]
  • A. LBWN chosen
    LBWN is the ICAO airport code for Varna Airport, an international airport serving the city of Varna on Bulgaria’s Black Sea coast.
  • B. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • C. LB
    LB is the former New York Stock Exchange ticker symbol for L Brands, the American retail company that owned brands such as Victoria’s Secret and Bath & Body Works.
  • D. LB
    LB is the vehicle registration code for the Ludwigsburg district in the Stuttgart administrative region of Baden-Württemberg, Germany.
  • E. LBN
    LBN is the three-letter ISO 3166-1 alpha-3 country code for Lebanon.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4aec1f8c8190a9ab1a73c2dbcd3c completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf287f05748190b41c606eaae5d0b7 completed April 3, 2026, 2:39 a.m.
Created at: March 30, 2026, 6:32 p.m.