Triple

T14394037
Position Surface form Disambiguated ID Type / Status
Subject jstack E356911 entity
Predicate optionPurpose P79 FINISHED
Object -l prints additional lock information 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: -l prints additional lock information | Statement: [jstack, optionPurpose, -l prints additional lock information]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: optionPurpose
Context triple: [jstack, optionPurpose, -l prints additional lock information]
  • A. operationalPurpose
    Indicates the function, role, or intended use that an entity is designed or configured to perform in an operational context.
  • B. servicePurpose
    Indicates that one entity serves as the purpose, goal, or intended function for which another entity (typically a service) exists or is provided.
  • C. orderPurpose
    Indicates that an order is placed with the specific purpose or intended use of the ordered item or service.
  • D. purpose chosen
    Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
  • E. curvePurpose
    Indicates that a curve exists or is defined for a particular purpose, function, or intended use.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902d114881908a8f3c01b3c6d309 completed April 14, 2026, 7:06 p.m.
PD Predicate disambiguation batch_69de2aa024c48190805df6a9d63deb10 completed April 14, 2026, 11:53 a.m.
Created at: April 10, 2026, 1:16 a.m.