Triple

T10078537
Position Surface form Disambiguated ID Type / Status
Subject Panionion E213835 entity
Predicate religiousRituals P65752 FINISHED
Object sacrifices to Poseidon Helikonios LITERAL 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: sacrifices to Poseidon Helikonios | Statement: [Panionion, religiousRituals, sacrifices to Poseidon Helikonios]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousRituals
Context triple: [Panionion, religiousRituals, sacrifices to Poseidon Helikonios]
  • A. ritualActivities chosen
    Indicates that one entity engages in, performs, or is associated with ritualistic or ceremonial activities in relation to another entity or context.
  • B. ritualCategory
    Indicates the classification relationship that assigns a ritual to a specific ritual type or category.
  • C. relatedRitual
    Indicates that one entity is associated with, connected to, or involved in the performance or context of a particular ritual.
  • D. religiousOrRitualAssociation
    Indicates a connection between entities based on shared religious, spiritual, or ritual practices, roles, or significance.
  • E. languageUsedInRituals
    Indicates that a particular language is employed as the medium of speech, chant, or recitation during specific rituals or ceremonial practices.
  • F. None of above.

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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd030a0fc819084b523e8e63636fa completed April 2, 2026, 2:10 a.m.
PD Predicate disambiguation batch_69cd4b97870481908f7a89df10d58a9e completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9 p.m.