Triple

T17375105
Position Surface form Disambiguated ID Type / Status
Subject Ève E422415 entity
Predicate hasVariant P455 FINISHED
Object Hava 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: Hava | Statement: [Ève, hasVariant, Hava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hava
Context triple: [Ève, hasVariant, Hava]
  • A. Havah chosen
    Havah is a transliteration of the Hebrew name for Eve, the first woman in the biblical creation narrative.
  • B. Arivruach
    Arivruach is a small rural settlement in the Outer Hebrides of Scotland, situated on the shores of Loch Seaforth on the Isle of Lewis.
  • C. Héwa
    Héwa is an alternative name for the Hewa language, a Papuan language spoken by indigenous communities in Papua New Guinea.
  • D. Habo
    Habo is a locality in southern Sweden known as the seat of Habo Municipality in the historical province of Västergötland.
  • E. Hain
    Hain is an ancient, central world in Ursula K. Le Guin’s Hainish Cycle, often portrayed as the cradle of human-like civilizations across the galaxy.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6c864481908507290282cc6d25 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.