Triple

T18710892
Position Surface form Disambiguated ID Type / Status
Subject Crisaean Gulf E457508 entity
Predicate associatedWith P37 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: [Crisaean Gulf, associatedWith, Apollo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apollo
Context triple: [Crisaean Gulf, associatedWith, 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 Clarios
    Apollo Clarios is a local cult epithet of the god Apollo venerated at the ancient oracular sanctuary of Claros in Ionia, where he was worshipped primarily as a prophetic and healing deity.
  • E. 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.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671b34508190b6180f7d6ad50a58 completed April 19, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052b2f95188190a259a50367e2a17a completed May 14, 2026, 1:53 a.m.
Created at: April 10, 2026, 11:50 a.m.