Triple

T3252690
Position Surface form Disambiguated ID Type / Status
Subject Zeppelin airships E68218 entity
Predicate operatedBy P86 FINISHED
Object DELAG
DELAG was the world’s first airline to use rigid airships for passenger transport, pioneering commercial air travel in the early 20th century.
 E341863 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: DELAG | Statement: [Zeppelin airships, operatedBy, DELAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DELAG
Context triple: [Zeppelin airships, operatedBy, DELAG]
  • A. DELTA
    DELTA is the radio callsign used by pilots and air traffic control to identify and communicate with Delta Air Lines flights.
  • B. DCLA
    DCLA is the New York City government agency responsible for supporting and promoting the city’s cultural institutions, arts organizations, and creative communities.
  • C. Dek
    Dek is a short or informal nickname commonly used for someone named Derek.
  • D. DEL2
    DEL2 is Germany’s second-tier professional ice hockey league, sitting directly below the top-level DEL.
  • E. Neudeck
    Neudeck is a village in former East Prussia (now Ogrodzieniec in Poland) historically known as the family estate and place of death of German President and World War I field marshal Paul von Hindenburg.
  • 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: DELAG
Triple: [Zeppelin airships, operatedBy, DELAG]
Generated description
DELAG was the world’s first airline to use rigid airships for passenger transport, pioneering commercial air travel in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DELAG
Target entity description: DELAG was the world’s first airline to use rigid airships for passenger transport, pioneering commercial air travel in the early 20th century.
  • A. DELTA
    DELTA is the radio callsign used by pilots and air traffic control to identify and communicate with Delta Air Lines flights.
  • B. DCLA
    DCLA is the New York City government agency responsible for supporting and promoting the city’s cultural institutions, arts organizations, and creative communities.
  • C. Dek
    Dek is a short or informal nickname commonly used for someone named Derek.
  • D. DEL2
    DEL2 is Germany’s second-tier professional ice hockey league, sitting directly below the top-level DEL.
  • E. Neudeck
    Neudeck is a village in former East Prussia (now Ogrodzieniec in Poland) historically known as the family estate and place of death of German President and World War I field marshal Paul von Hindenburg.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf440bb88190a2450405afae7f1f completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ec4375881908d7f22ef4a80b60c completed March 12, 2026, 10 a.m.
NEDg Description generation batch_69b28fbaa3048190b42991ede51c6ca8 completed March 12, 2026, 10:04 a.m.
NED2 Entity disambiguation (via description) batch_69b2ab2315ec8190b27da4e41696a7e3 completed March 12, 2026, 12:01 p.m.
Created at: March 8, 2026, 3:09 p.m.