Triple

T19940821
Position Surface form Disambiguated ID Type / Status
Subject Latona E479302 entity
Predicate basedOn P98 FINISHED
Object Leto 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: Leto | Statement: [Latona, basedOn, Leto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leto
Context triple: [Latona, basedOn, Leto]
  • A. Leto chosen
    Leto is a Titaness in Greek mythology best known as the mother of the twin Olympian deities Apollo and Artemis.
  • B. Letnitsa
    Letnitsa is a small town and municipality in northern Bulgaria known for its proximity to the Devetashka Cave and other natural attractions.
  • C. Sommeri
    Sommeri is a small municipality in the canton of Thurgau in northeastern Switzerland, characterized by its rural setting and agricultural landscape.
  • D. Sesona
    Sesona is a small locality or hamlet that forms part of the municipality of Vergiate in northern Italy.
  • E. Saison
    Saison is a river in the French Basque Country, known as a tributary of the Gave d'Oloron in southwestern France.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a1a8df4819094e84855465df6c0 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.