Triple

T15574247
Position Surface form Disambiguated ID Type / Status
Subject Hahn Air Base E374326 entity
Predicate postMilitaryName P119241 FINISHED
Object Frankfurt–Hahn Airport E1038889 NE FINISHED

How this triple was built (3 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: Frankfurt–Hahn Airport | Statement: [Hahn Air Base, postMilitaryName, Frankfurt–Hahn Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankfurt–Hahn Airport
Context triple: [Hahn Air Base, postMilitaryName, Frankfurt–Hahn Airport]
  • A. Frankfurt-Hahn Airport chosen
    Frankfurt-Hahn Airport is a regional international airport in western Germany that serves low-cost and cargo airlines and is located between Frankfurt and Luxembourg.
  • B. Frankfurt Egelsbach Airport
    Frankfurt Egelsbach Airport is a busy general aviation airfield near Frankfurt, Germany, primarily serving business and private aircraft rather than commercial airline traffic.
  • C. Kassel Airport
    Kassel Airport is a regional commercial and general aviation airport serving the city of Kassel and the surrounding region in central Germany.
  • D. Nuremberg Airport
    Nuremberg Airport is an international airport in northern Bavaria, Germany, serving the city of Nuremberg and the surrounding Franconia region with passenger and cargo flights.
  • E. Stuttgart Airport
    Stuttgart Airport is the international airport serving the city of Stuttgart in southwestern Germany, handling both passenger and cargo traffic for the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: postMilitaryName
Context triple: [Hahn Air Base, postMilitaryName, Frankfurt–Hahn Airport]
  • A. postMilitaryCareer
    Indicates that one entity’s career or occupation occurs after the completion of their military service.
  • B. hasMilitaryPost
    Indicates that an entity holds or is assigned to a specific military position, role, or station.
  • C. namedForMilitaryRank
    Indicates that one entity is named after or in honor of a specific military rank held by a person or associated with a military position.
  • D. hadMilitaryPost
    Indicates that an entity held an official position or assignment within a military organization.
  • E. namedForPersonMilitaryBranch
    Indicates that a military branch is named in honor of or after a specific person.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e2140388190a8df7b835eaa72ce completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c231e0819083d6032eb21114b2 completed May 9, 2026, 3:46 p.m.
PD Predicate disambiguation batch_69deda7e6e748190b29ccce23298afef completed April 15, 2026, 12:23 a.m.
PDg Predicate description generation batch_69dff7f05f708190850f1d8782e132b0 completed April 15, 2026, 8:41 p.m.
Created at: April 10, 2026, 4:10 a.m.