Triple

T14681862
Position Surface form Disambiguated ID Type / Status
Subject LZ 129 Hindenburg E344805 entity
Predicate builtAtLocation P14101 FINISHED
Object Friedrichshafen, Germany E258002 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: Friedrichshafen, Germany | Statement: [LZ 129 Hindenburg, builtAtLocation, Friedrichshafen, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Friedrichshafen, Germany
Context triple: [LZ 129 Hindenburg, builtAtLocation, Friedrichshafen, Germany]
  • A. Friedrichshafen chosen
    Friedrichshafen is a city on the northern shore of Lake Constance in southern Germany, known for its aviation and engineering industries and as a historic center of airship and aircraft production.
  • B. Flensburg, Germany
    Flensburg, Germany is a historic port city in northern Germany near the Danish border, known for its maritime heritage and role as the last seat of the German government at the end of World War II.
  • C. Waiblingen, Germany
    Waiblingen is a historic town in the German state of Baden-Württemberg, located near Stuttgart and known for its well-preserved old town and role as an industrial and residential center.
  • D. Oldenburg, Germany
    Oldenburg, Germany is a historic city in northwestern Germany known for its former status as a grand duchy’s capital and its well-preserved old town.
  • E. Sindelfingen, Germany
    Sindelfingen, Germany is a city in the state of Baden-Württemberg best known for its large Mercedes-Benz manufacturing plant and long-standing role in the German automotive industry.
  • 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: builtAtLocation
Context triple: [LZ 129 Hindenburg, builtAtLocation, Friedrichshafen, Germany]
  • A. builtInThe
    Indicates that something was constructed or created within a specified location, structure, or context.
  • B. placeBuilt chosen
    Indicates that a structure or facility was constructed at a specific location.
  • C. builtOn
    Indicates that one entity is constructed, developed, or established using another entity as its base, foundation, or underlying platform.
  • D. builderLocation
    Indicates the place or area where the builder carries out their building activity or is based.
  • E. builtNear
    Indicates that one entity was constructed at a location geographically close to another entity.
  • F. None of above.

Provenance (4 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb56a51ec8190941684fd562a7182 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24a6b0908190943f193f5a17ec8c completed May 8, 2026, 6 p.m.
PD Predicate disambiguation batch_69de6579fb7881909becc8f5822b39d4 completed April 14, 2026, 4:04 p.m.
Created at: April 10, 2026, 1:28 a.m.