Triple

T2337495
Position Surface form Disambiguated ID Type / Status
Subject Hamburg Airport E44344 entity
Predicate hasICAOcode P419 FINISHED
Object EDDH
EDDH is the ICAO airport code for Hamburg Airport, a major international airport in northern Germany.
 E258717 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: EDDH | Statement: [Hamburg Airport, hasICAOcode, EDDH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EDDH
Context triple: [Hamburg Airport, hasICAOcode, EDDH]
  • A. EDDT
    EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
  • B. DHE
    DHE is the Massachusetts state agency responsible for coordinating and overseeing public higher education institutions and policies.
  • C. HDH
    HDH is the vehicle registration code used on license plates for the German town of Heidenheim an der Brenz.
  • D. EDDI
    EDDI is the ICAO airport code for Berlin Tempelhof Airport, the historic inner-city airfield in Berlin, Germany.
  • E. HEE
    HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
  • 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: EDDH
Triple: [Hamburg Airport, hasICAOcode, EDDH]
Generated description
EDDH is the ICAO airport code for Hamburg Airport, a major international airport in northern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EDDH
Target entity description: EDDH is the ICAO airport code for Hamburg Airport, a major international airport in northern Germany.
  • A. EDDT
    EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
  • B. DHE
    DHE is the Massachusetts state agency responsible for coordinating and overseeing public higher education institutions and policies.
  • C. HDH
    HDH is the vehicle registration code used on license plates for the German town of Heidenheim an der Brenz.
  • D. EDDI
    EDDI is the ICAO airport code for Berlin Tempelhof Airport, the historic inner-city airfield in Berlin, Germany.
  • E. HEE
    HEE is the acronym for Health Education England, the national body responsible for overseeing education, training, and workforce development for healthcare staff in England.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc68ac4348190ab6ec46ec7879643 completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae961adfdc8190bf79d479d8207599 completed March 9, 2026, 9:42 a.m.
NEDg Description generation batch_69ae97406c588190855ecb6c9ed00bc9 completed March 9, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ae97c82e8c8190a613444ea4ffb5a0 completed March 9, 2026, 9:50 a.m.
Created at: March 4, 2026, 7:51 p.m.