Triple

T15598074
Position Surface form Disambiguated ID Type / Status
Subject Atari 5200 E374957 entity
Predicate reasonForPoorReception P119383 FINISHED
Object unreliable analog controllers 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: unreliable analog controllers | Statement: [Atari 5200, reasonForPoorReception, unreliable analog controllers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForPoorReception
Context triple: [Atari 5200, reasonForPoorReception, unreliable analog controllers]
  • A. reasonForPerformanceLimitation
    Indicates that one factor serves as the cause or explanation for why a performance limitation occurs.
  • B. allowsMobileReception
    Indicates that one entity provides the conditions or infrastructure necessary for another entity to receive mobile (cellular) network service.
  • C. enablesImprovedIndoorReception
    Indicates that one entity provides or facilitates better signal or service reception within indoor environments for another entity.
  • D. reasonForFurtherDeterioration
    Indicates that one condition, event, or factor is identified as the cause of additional worsening or decline in another condition or situation.
  • E. reasonForIneffectiveness
    Indicates that one entity specifies the cause or explanation for why another entity is ineffective or fails to achieve its intended effect.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e609ab081909feb486a57439960 completed April 16, 2026, 2:50 a.m.
PD Predicate disambiguation batch_69deda844af081909e658ebc9d9b403d completed April 15, 2026, 12:23 a.m.
PDg Predicate description generation batch_69dff7f05f708190850f1d8782e132b0 completed April 15, 2026, 8:41 p.m.
Created at: April 10, 2026, 4:12 a.m.