Triple

T669839
Position Surface form Disambiguated ID Type / Status
Subject Amphictyonic League E12945 entity
Predicate associatedDeity P1481 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: [Amphictyonic League, associatedDeity, Apollo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apollo
Context triple: [Amphictyonic League, associatedDeity, Apollo]
  • A. Apollo chosen
    Apollo is the Olympian god of the sun, music, prophecy, and healing in ancient Greek mythology.
  • B. 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.
  • C. 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.
  • D. Juno
    Juno is the ancient Roman queen of the gods, associated with marriage, childbirth, and the protection of the state.
  • E. Juno
    Juno is a 2007 coming-of-age comedy-drama film about a witty teenager dealing with an unplanned pregnancy, widely praised for its sharp dialogue and performances.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49ffbe09881909b547a52a6b34c7f completed March 1, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3a6bcf88190aff5bd3db264f475 completed March 4, 2026, 3:14 a.m.
Created at: March 1, 2026, 7:36 p.m.