Triple

T36625757
Position Surface form Disambiguated ID Type / Status
Subject SMTInterpol E904162 entity
Predicate supportsUsageMode P99857 FINISHED
Object batch solving 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: batch solving | Statement: [SMTInterpol, supportsUsageMode, batch solving]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsUsageMode
Context triple: [SMTInterpol, supportsUsageMode, batch solving]
  • A. supportedMode chosen
    Indicates that a system, device, or component is capable of operating in or handling a particular mode.
  • B. supportsUse
    Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
  • C. usedOnMode
    Indicates that something is applied, operated, or functions specifically in a given mode or operational setting.
  • D. usedSupport
    Indicates that one entity employed or relied on another entity as a means of support or assistance in performing an action or achieving a result.
  • E. availableInMode
    Indicates that something can be used, accessed, or functions within a specified mode or operational setting.
  • 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_69f76e6ae750819096911e6e2d4d12c5 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a0bf4b88190bdcfae9a14b51f0a completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:11 p.m.