Triple

T10075034
Position Surface form Disambiguated ID Type / Status
Subject Airco DH.5 E213727 entity
Predicate operationalAssessment P91952 FINISHED
Object limited operational success 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: limited operational success | Statement: [Airco DH.5, operationalAssessment, limited operational success]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operationalAssessment
Context triple: [Airco DH.5, operationalAssessment, limited operational success]
  • A. operationalReadiness
    Indicates that an entity is in a state where it is fully prepared, equipped, and able to perform its intended function or mission.
  • B. operationalNature
    Indicates the functional or practical manner in which an entity, process, or system operates or carries out its activities.
  • C. operationalCharacteristic
    Indicates a relationship where a specific functional or performance trait is attributed to, or used to describe, how an entity operates.
  • D. operationalTask
    Indicates that an entity is engaged in, responsible for, or associated with a specific operational activity or task within a process or system.
  • E. operationalScope
    Indicates the range, extent, or boundaries within which an entity, process, or activity is authorized or designed to operate.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd017b8288190a577bd66e4ba66b7 completed April 2, 2026, 2:10 a.m.
PD Predicate disambiguation batch_69cd4b97870481908f7a89df10d58a9e completed April 1, 2026, 4:45 p.m.
PDg Predicate description generation batch_69cd4f8d9b888190b8067bd916dae773 completed April 1, 2026, 5:02 p.m.
Created at: March 30, 2026, 8:59 p.m.