Triple

T5429206
Position Surface form Disambiguated ID Type / Status
Subject Northeast Coast Bantu languages E121440 entity
Predicate hasGuthrieZone P6793 FINISHED
Object G40 LITERAL 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: G40 | Statement: [Northeast Coast Bantu languages, hasGuthrieZone, G40]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGuthrieZone
Context triple: [Northeast Coast Bantu languages, hasGuthrieZone, G40]
  • A. hasZone chosen
    Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
  • B. hasFareZone
    Indicates that an entity is located within or associated with a specific fare zone used for pricing or ticketing.
  • C. hasRegionDesignation
    Indicates that an entity is assigned or associated with a specific regional classification or designation.
  • D. hasGulf
    Indicates that one geographic entity contains or is bordered by a gulf associated with another entity.
  • E. hasRegion
    Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
  • F. None of above.

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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8911a7348190ad9378a248190f07 completed March 20, 2026, 5:51 p.m.
PD Predicate disambiguation batch_69bd846b8bdc81909dcdc2a3084226f2 completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:06 p.m.