Triple

T36578034
Position Surface form Disambiguated ID Type / Status
Subject Motorola C139 E902309 entity
Predicate durabilityReputation P185890 FINISHED
Object high 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: high | Statement: [Motorola C139, durabilityReputation, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: durabilityReputation
Context triple: [Motorola C139, durabilityReputation, high]
  • A. scoringReputation
    Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
  • B. stoneReputation
    Indicates a relationship where an entity’s reputation or renown is established, marked, or symbolized in stone (e.g., through inscriptions, monuments, or enduring records).
  • C. collectionReputation
    Indicates the perceived quality, trustworthiness, or status associated with a particular collection based on others’ evaluations or interactions.
  • D. performanceReputation
    Indicates the perceived quality or reliability of an entity’s past or expected performance as judged by others.
  • E. managerReputation
    Indicates the perceived quality, trustworthiness, and effectiveness of a manager as judged by others.
  • 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_69f76e64d8908190868473959a250b94 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69f7c1baf25c8190a78dd54a400d2c50 completed May 3, 2026, 9:44 p.m.
PDg Predicate description generation batch_69f7c3705b5c81908c84004543a71c07 completed May 3, 2026, 9:51 p.m.
Created at: May 3, 2026, 4:11 p.m.