Triple

T8602921
Position Surface form Disambiguated ID Type / Status
Subject Apollo DN400 E203721 entity
Predicate brand P1500 FINISHED
Object Apollo
Apollo is a well-known brand that produces a range of bicycles and related cycling products.
E744885 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: Apollo | Statement: [Apollo DN400, brand, Apollo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apollo
Context triple: [Apollo DN400, brand, Apollo]
  • A. Apollo
    Apollo is a small borough in Armstrong County, Pennsylvania, known historically as a riverfront industrial community along the Kiskiminetas River.
  • B. Apollo
    Apollo is the Olympian god of the sun, music, prophecy, and healing in ancient Greek mythology.
  • C. Apollo Daphnephoros
    Apollo Daphnephoros is a cult epithet of the Greek god Apollo associated with laurel and often worshipped as a protector and guide, particularly in cities like Eretria.
  • D. Apollo Karneios
    Apollo Karneios is a pastoral and oracular aspect of the Greek god Apollo particularly venerated in the Dorian regions of the ancient Greek world, where he was associated with flocks, seasonal cycles, and communal festivals.
  • E. Apollo Loxias
    Apollo Loxias is an epithet of the Greek god Apollo emphasizing his role as an oracular deity whose prophetic messages are often ambiguous or obscure.
  • 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: Apollo
Triple: [Apollo DN400, brand, Apollo]
Generated description
Apollo is a well-known brand that produces a range of bicycles and related cycling products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Apollo
Target entity description: Apollo is a well-known brand that produces a range of bicycles and related cycling products.
  • A. Apollo
    Apollo is the Olympian god of the sun, music, prophecy, and healing in ancient Greek mythology.
  • B. Apollo
    Apollo is a small borough in Armstrong County, Pennsylvania, known historically as a riverfront industrial community along the Kiskiminetas River.
  • C. Apollo Daphnephoros
    Apollo Daphnephoros is a cult epithet of the Greek god Apollo associated with laurel and often worshipped as a protector and guide, particularly in cities like Eretria.
  • D. Apollo Karneios
    Apollo Karneios is a pastoral and oracular aspect of the Greek god Apollo particularly venerated in the Dorian regions of the ancient Greek world, where he was associated with flocks, seasonal cycles, and communal festivals.
  • E. Apollo Loxias
    Apollo Loxias is an epithet of the Greek god Apollo emphasizing his role as an oracular deity whose prophetic messages are often ambiguous or obscure.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46dc23448190a5eb63455578427e completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8f13f7081908317c1b2d87a51b2 completed April 2, 2026, 5:35 p.m.
NEDg Description generation batch_69cea9d0dad0819095134f6f8cafb4c0 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaa7025388190a3f17aca46d4858e completed April 2, 2026, 5:42 p.m.
Created at: March 30, 2026, 6:24 p.m.