Triple

T20748335
Position Surface form Disambiguated ID Type / Status
Subject Mount Olympus (Thessaly) E510646 entity
Predicate associatedWith P37 FINISHED
Object Hera 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: Hera | Statement: [Mount Olympus (Thessaly), associatedWith, Hera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hera
Context triple: [Mount Olympus (Thessaly), associatedWith, Hera]
  • A. Hera chosen
    Hera is the queen of the Olympian gods in Greek mythology, revered as the goddess of marriage, women, and family.
  • B. Δήμητρα
    Η Δήμητρα είναι στην ελληνική μυθολογία η θεά της γεωργίας, της γονιμότητας της γης και της συγκομιδής.
  • C. HERA
    HERA was a major particle accelerator and collider at DESY in Hamburg, Germany, used primarily for high-energy electron–proton collision experiments in particle physics.
  • D. HERA
    HERA is a 2008 U.S. federal law enacted in response to the subprime mortgage crisis to stabilize the housing market, reform mortgage regulation, and support troubled homeowners and financial institutions.
  • E. Ἥβη
    Ἥβη is the Greek goddess of youth, daughter of Zeus and Hera, who served as cupbearer to the gods on Mount Olympus.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c226fbf881909794eff3ee9e206b completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.