Triple

T28263304
Position Surface form Disambiguated ID Type / Status
Subject Beck Depression Inventory E712637 entity
Predicate notForUseIn P164103 FINISHED
Object very young children 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: very young children | Statement: [Beck Depression Inventory, notForUseIn, very young children]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notForUseIn
Context triple: [Beck Depression Inventory, notForUseIn, very young children]
  • A. notUsedAt
    Indicates that a particular entity is not utilized, applied, or active at a specified location, time, or context.
  • B. notRecommendedIn chosen
    Indicates that something is advised against or discouraged from being used, done, or applied within a particular context, situation, or location.
  • C. notTypicallyUsedFor
    Indicates that something is generally not used for a particular purpose, function, or activity under normal circumstances.
  • D. shouldNotBeUsedIn
    Indicates that one entity is not appropriate, allowed, or recommended for use within the context, scope, or situation defined by another entity.
  • E. notAutomaticallyUsedBy
    Indicates that something is not used by another entity in an automatic or default manner and instead requires explicit action or configuration to be used.
  • 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_69efb5216c6881908020dce4aea65381 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6441b33e0819081dc4b8b5a12644f completed May 2, 2026, 6:36 p.m.
PD Predicate disambiguation batch_69f641e0fde08190bf06a1c5b388aa84 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 11:12 p.m.