Triple

T4922211
Position Surface form Disambiguated ID Type / Status
Subject Thesmophoria E110491 entity
Predicate honors P2354 FINISHED
Object Demeter E20158 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: Demeter | Statement: [Thesmophoria, honors, Demeter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Demeter
Context triple: [Thesmophoria, honors, Demeter]
  • A. Demeter chosen
    Demeter is the ancient Greek goddess of agriculture, grain, and the fertility of the earth, central to the Eleusinian Mysteries and the myth of Persephone.
  • B. Persephone
    Persephone is the Greek goddess of spring and queen of the underworld, known for her abduction by Hades and her role in the myth explaining the seasons.
  • C. Hera
    Hera is the queen of the Olympian gods in Greek mythology, revered as the goddess of marriage, women, and family.
  • D. Teano
    Teano is a historic town in Italy’s Campania region, known for its ancient origins and as the site of the famous 1860 meeting between Giuseppe Garibaldi and King Victor Emmanuel II.
  • E. Phorkys
    Phorkys is a primordial sea god in Greek mythology, often depicted as a wise but monstrous figure associated with the dangers and mysteries of the deep ocean.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffc2ab08190992db2400562bcee completed March 20, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfa0b4fc8190bf9ee8abf1684503 completed March 21, 2026, 5:04 p.m.
Created at: March 20, 2026, 1:30 p.m.