Triple

T30617532
Position Surface form Disambiguated ID Type / Status
Subject Gilgal E779353 entity
Predicate etymologyTraditionallyDerivedFrom P5801 FINISHED
Object Hebrew word for “circle” or “wheel” 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: Hebrew word for “circle” or “wheel” | Statement: [Gilgal, etymologyTraditionallyDerivedFrom, Hebrew word for “circle” or “wheel”]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: etymologyTraditionallyDerivedFrom
Context triple: [Gilgal, etymologyTraditionallyDerivedFrom, Hebrew word for “circle” or “wheel”]
  • A. etymologyRelatesTo
    Indicates a relationship where one term’s origin, history, or derivation is connected to another linguistic form, word, or source.
  • B. etymologyStatus
    Indicates the status or reliability classification of an etymological explanation for a term or name.
  • C. etymologyType
    Indicates the specific kind or category of etymological relationship that links a term to its linguistic origin or source.
  • D. etymologicalSource chosen
    Indicates that one term or name originates from, is derived from, or has its roots in another term or name.
  • E. etymologyContext
    Indicates the contextual or situational background (such as time, place, culture, or domain) relevant to the origin and historical development of a word or term.
  • 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_69f224a3307081909a6dca8ca75dbf48 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f689eca0348190a4f8e54e0a56f797 completed May 2, 2026, 11:34 p.m.
PD Predicate disambiguation batch_69f67e448a9c8190b591374d98799fe3 completed May 2, 2026, 10:44 p.m.
Created at: April 29, 2026, 8:26 p.m.