Triple

T28495826
Position Surface form Disambiguated ID Type / Status
Subject Elephantulus E721103 entity
Predicate hasCommonMisconception P28207 FINISHED
Object thought to be related to shrews due to name 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: thought to be related to shrews due to name | Statement: [Elephantulus, hasCommonMisconception, thought to be related to shrews due to name]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCommonMisconception
Context triple: [Elephantulus, hasCommonMisconception, thought to be related to shrews due to name]
  • A. notableMisconception chosen
    Indicates that a commonly held but incorrect belief or understanding exists about the subject.
  • B. misconceptionSource
    Indicates that one entity is the origin or cause from which a particular misconception arises or is derived.
  • C. misinterpretedBy
    Indicates that something (such as a statement, action, or signal) is understood incorrectly or in a way not intended by a particular entity.
  • D. hasConceptualIssue
    Indicates that one entity has a problem, flaw, or inconsistency in its underlying idea, theory, or conceptual basis in relation to another entity.
  • E. isOftenMisusedBy
    Indicates that something is frequently used incorrectly or inappropriately by a particular entity or group.
  • 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_69f01a5afdac8190ac6e72d5c100bd58 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69ffb69812808190a751853b30183e65 completed May 9, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69ffb63bdda88190a9dd8426dc0bad43 completed May 9, 2026, 10:33 p.m.
Created at: April 28, 2026, 3:04 a.m.