Triple

T15060452
Position Surface form Disambiguated ID Type / Status
Subject Girgashites E379609 entity
Predicate statusInBiblicalText P116402 FINISHED
Object lesser-known group 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: lesser-known group | Statement: [Girgashites, statusInBiblicalText, lesser-known group]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusInBiblicalText
Context triple: [Girgashites, statusInBiblicalText, lesser-known group]
  • A. scripturalStatus
    Indicates the relationship between a text and its recognition or classification as scriptural, canonical, or authoritative within a religious or doctrinal tradition.
  • B. biblicalStatus chosen
    Indicates that one entity has a particular standing, role, or classification within a biblical or scriptural context in relation to another entity.
  • C. statusInChristianity
    Indicates the recognized role, standing, or significance that something or someone holds within Christian belief, practice, or tradition.
  • D. statusInRevelation
    Indicates the role, condition, or standing that an entity holds within the context of a particular revelation or revealed message.
  • E. statusInHadith
    Indicates the classification or standing of a hadith (such as authentic, weak, or fabricated) within hadith scholarship.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee6a55c8190b40c4672fb46b79b completed April 15, 2026, 12:42 a.m.
PD Predicate disambiguation batch_69deb95a182081908fffc4402b02a394 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:01 a.m.