Triple

T12809317
Position Surface form Disambiguated ID Type / Status
Subject Arethousa E306225 entity
Predicate nameVariant P744 FINISHED
Object Arethusa E254063 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: Arethusa | Statement: [Arethousa, nameVariant, Arethusa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arethusa
Context triple: [Arethousa, nameVariant, Arethusa]
  • A. Arethusa
    Arethusa is one of the Hesperides, the nymphs of Greek mythology associated with a blissful western garden and its golden apples.
  • B. Arethusa chosen
    Arethusa is a nymph from Greek mythology best known for her transformation into a freshwater spring to escape the river god Alpheus.
  • C. Naousa
    Naousa is a historic town in northern Greece known for its wine production, natural springs, and role in the Greek War of Independence.
  • D. Hippothoe
    Hippothoe is a minor figure in Greek mythology known primarily as one of the daughters of King Pelias of Iolcus.
  • E. Arsacia
    Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e817598819080fdd61e9d61236e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec89eb081909915af6e2216e0a2 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.