Triple

T10744589
Position Surface form Disambiguated ID Type / Status
Subject Taras E253417 entity
Predicate majorDeity P7648 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: [Taras, majorDeity, Apollo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apollo
Context triple: [Taras, majorDeity, Apollo]
  • A. Apollo chosen
    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
    Apollo is a well-known brand that produces a range of bicycles and related cycling products.
  • 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 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.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d711b6b4b48190bad08500fa963062 completed April 9, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbdb0470a4819082c5eb1f43ee02e2 completed April 12, 2026, 5:48 p.m.
Created at: April 8, 2026, 9:15 p.m.