Triple

T9686157
Position Surface form Disambiguated ID Type / Status
Subject Debrecen International Airport E234412 entity
Predicate hasICAOcode P419 FINISHED
Object LHDC
LHDC is the ICAO airport code assigned to Debrecen International Airport in Hungary.
 E815370 NE FINISHED

How this triple was built (4 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: LHDC | Statement: [Debrecen International Airport, hasICAOcode, LHDC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LHDC
Context triple: [Debrecen International Airport, hasICAOcode, LHDC]
  • A. LDAC
    LDAC is a high-resolution Bluetooth audio codec developed by Sony that enables wireless transmission of higher-quality audio than standard codecs like SBC.
  • B. HFP
    HFP is a Bluetooth profile used for hands-free communication, commonly enabling voice calls through car kits and headsets.
  • C. MHL
    MHL is the three-letter ISO 3166-1 alpha-3 country code representing the Republic of the Marshall Islands.
  • D. MHL
    MHL is the commonly used abbreviation for the International Hockey League, a professional ice hockey organization.
  • E. MHL
    The MHL is Russia’s top junior ice hockey league, serving as a key development system for young players aiming to reach professional levels such as the KHL.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LHDC
Triple: [Debrecen International Airport, hasICAOcode, LHDC]
Generated description
LHDC is the ICAO airport code assigned to Debrecen International Airport in Hungary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LHDC
Target entity description: LHDC is the ICAO airport code assigned to Debrecen International Airport in Hungary.
  • A. LDAC
    LDAC is a high-resolution Bluetooth audio codec developed by Sony that enables wireless transmission of higher-quality audio than standard codecs like SBC.
  • B. HFP
    HFP is a Bluetooth profile used for hands-free communication, commonly enabling voice calls through car kits and headsets.
  • C. MHL
    MHL is the three-letter ISO 3166-1 alpha-3 country code representing the Republic of the Marshall Islands.
  • D. MHL
    MHL is the commonly used abbreviation for the International Hockey League, a professional ice hockey organization.
  • E. MHL
    The MHL is Russia’s top junior ice hockey league, serving as a key development system for young players aiming to reach professional levels such as the KHL.
  • F. None of above. chosen

Provenance (5 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9cd2dab481908e0d3fed28de9d40 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1910b7c148190b9061b1ce0520e8b completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d193150c00819080ed0fbb050b60bf completed April 4, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69d19416efd48190865d0178e5e893fa completed April 4, 2026, 10:43 p.m.
Created at: March 30, 2026, 8:16 p.m.