Triple

T20342354
Position Surface form Disambiguated ID Type / Status
Subject Lykosoura E495770 entity
Predicate associatedDeity P1481 FINISHED
Object Anytos NE NERFINISHED

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: Anytos | Statement: [Lykosoura, associatedDeity, Anytos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anytos
Context triple: [Lykosoura, associatedDeity, Anytos]
  • A. Anytos chosen
    Anytos is a figure from Greek mythology known primarily as a Titan or divine guardian associated with the Arcadian goddess Despoina.
  • B. Loggos
    Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
  • C. Doro
    Doro is a diminutive form of the given name Dorothy, often used as a short or affectionate nickname.
  • D. Tuya
    Tuya was an influential queen of Egypt’s 19th Dynasty, best known as the wife of Seti I and the mother of Pharaoh Ramesses II.
  • E. Tosh
    Tosh is a small, scenic Himalayan village in India’s Parvati Valley, known for its mountain views, trekking routes, and backpacker-friendly guesthouses.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67836b72081908be65115abdb37bf completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.