Triple

T934207
Position Surface form Disambiguated ID Type / Status
Subject Demeter E20158 entity
Predicate consort P13 FINISHED
Object Iasion E60509 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: Iasion | Statement: [Demeter, consort, Iasion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iasion
Context triple: [Demeter, consort, Iasion]
  • A. Iasion chosen
    Iasion is a figure in Greek mythology known primarily as a mortal lover of the goddess Demeter and father of Plutus, the god of wealth.
  • B. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • C. Istiaia
    Istiaia is a notable town in northern Euboea, Greece, known historically as a local administrative and commercial center on the island.
  • D. Thale
    Thale is a small town in the northern Harz region of central Germany, known for its dramatic Bode Gorge, surrounding cliffs, and role as a gateway to popular hiking and nature areas.
  • E. Nikolassee
    Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b363ea5c819098ec1d87f785bad4 completed March 1, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42851b8881908b2625e3cb34cb6c completed March 7, 2026, 3:21 p.m.
Created at: March 1, 2026, 7:40 p.m.