Triple

T12037338
Position Surface form Disambiguated ID Type / Status
Subject Chavah E286574 entity
Predicate transliterationVariantOf P5923 FINISHED
Object Havah 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: Havah | Statement: [Chavah, transliterationVariantOf, Havah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havah
Context triple: [Chavah, transliterationVariantOf, Havah]
  • A. Havah chosen
    Havah is a transliteration of the Hebrew name for Eve, the first woman in the biblical creation narrative.
  • B. Héwa
    Héwa is an alternative name for the Hewa language, a Papuan language spoken by indigenous communities in Papua New Guinea.
  • C. Vahun
    Vahun is a town in northwestern Liberia that serves as one of the local settlements within Lofa County near the border with Sierra Leone.
  • D. Haya
    Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
  • E. Haya
    The Haya are a Bantu-speaking ethnic group of northwestern Tanzania, known for their advanced precolonial ironworking and intensive banana-based agriculture around Lake Victoria.
  • 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_69f5f64826a481908a09ca1c91c4e04f completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.