Triple

T5432269
Position Surface form Disambiguated ID Type / Status
Subject Hymn to Demeter E121523 entity
Predicate setting P1957 FINISHED
Object Olympus E316971 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: Olympus | Statement: [Hymn to Demeter, setting, Olympus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olympus
Context triple: [Hymn to Demeter, setting, Olympus]
  • A. Olympus chosen
    Olympus is the highest and most famous mountain in Greece, revered in Greek mythology as the home of the Olympian gods.
  • B. Nister
    The Nister is a river in western Germany, known as a scenic tributary of the Sieg that flows through the Westerwald region.
  • C. Oukaimeden
    Oukaimeden is a popular ski resort and mountain destination in the High Atlas Mountains of Morocco, known for its winter sports and scenic alpine landscapes.
  • D. Canazei
    Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
  • E. Shumshu
    Shumshu is a small, strategically significant volcanic island at the northern end of the Kuril Islands chain, near the Kamchatka Peninsula.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8840ade481909dae2eecc77d73b8 completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf41284998819096667ae70180e067 completed March 22, 2026, 1:08 a.m.
Created at: March 20, 2026, 2:06 p.m.