Triple

T11360766
Position Surface form Disambiguated ID Type / Status
Subject Temple of Apollo (Syracuse) E269078 entity
Predicate dedicatedTo P500 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: [Temple of Apollo (Syracuse), dedicatedTo, Apollo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apollo
Context triple: [Temple of Apollo (Syracuse), dedicatedTo, 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 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea442e5c8190babfde25540b27e9 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556542ecc8190a8109c17944598ab completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:33 p.m.