Triple

T1903392
Position Surface form Disambiguated ID Type / Status
Subject Broca's aphasia E37743 entity
Predicate typicallySpared P33796 FINISHED
Object language comprehension relative to production 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: language comprehension relative to production | Statement: [Broca's aphasia, typicallySpared, language comprehension relative to production]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicallySpared
Context triple: [Broca's aphasia, typicallySpared, language comprehension relative to production]
  • A. typicalIn
    Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
  • B. typicallyLack
    Indicates that one entity is characteristically or usually without, or does not possess, another entity or attribute.
  • C. sparedPerson
    Indicates that one entity chose not to harm, punish, or otherwise negatively affect another entity when it had the power or opportunity to do so.
  • D. typicalPractice
    Indicates that an action, behavior, or method is commonly or customarily done in a given context or by a given group.
  • E. typicalAssumption
    Indicates that something is taken as a standard or default assumption that generally holds in typical or normal circumstances.
  • F. None of above. chosen

Provenance (4 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb34d94fc8190a5bf1e582c77c725 completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abafe9f8b0819086d8f6288511c66d completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb34c4a64819096e12b152b84c334 completed March 7, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:35 p.m.