Triple

T12037310
Position Surface form Disambiguated ID Type / Status
Subject Chava E286573 entity
Predicate transliterationVariant P5923 FINISHED
Object Hava E64648 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: Hava | Statement: [Chava, transliterationVariant, Hava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hava
Context triple: [Chava, transliterationVariant, 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. Haitink
    Haitink is a Dutch surname most famously associated with Bernard Haitink, the renowned 20th-century conductor known for his interpretations of the symphonic repertoire.
  • E. Aire
    Aire is a given name that can be used for individuals of any gender, often chosen for its airy, nature-inspired sound and uniqueness.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040a8be881908f4841145a7b4e86 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d8a9af881909e28783b0d83ed82 completed May 1, 2026, 12:33 p.m.
Created at: April 8, 2026, 9:47 p.m.