Triple

T14292310
Position Surface form Disambiguated ID Type / Status
Subject Apollo Alexikakos E354345 entity
Predicate hasDeity P5606 FINISHED
Object Apollo E12942 NE FINISHED

How this triple was built (2 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 Alexikakos, hasDeity, Apollo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apollo
Context triple: [Apollo Alexikakos, hasDeity, Apollo]
  • A. Apollo
    Apollo is a well-known brand that produces a range of bicycles and related cycling products.
  • B. Apollo chosen
    Apollo is the Olympian god of the sun, music, prophecy, and healing in ancient Greek mythology.
  • C. Apollo
    Apollo is a small borough in Armstrong County, Pennsylvania, known historically as a riverfront industrial community along the Kiskiminetas River.
  • D. 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.
  • E. Apollo Delphinios
    Apollo Delphinios is a cult epithet of the Greek god Apollo associated especially with Delphi, emphasizing his roles in prophecy, protection, and often connections to dolphins and the sea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de7179368081908117a9ccfbf94fd4 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1884f481908ea266c1651c4b59 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.