Triple

T7514897
Position Surface form Disambiguated ID Type / Status
Subject Thomas Pocock E177613 entity
Predicate hasActivityInField P19746 FINISHED
Object naval history 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: naval history | Statement: [Thomas Pocock, hasActivityInField, naval history]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasActivityInField
Context triple: [Thomas Pocock, hasActivityInField, naval history]
  • A. hasActivityIn chosen
    Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
  • B. hasActivityStatus
    Indicates the current state or condition of an activity, such as whether it is planned, ongoing, completed, or cancelled.
  • C. hasActivityType
    Indicates the specific kind or category of activity associated with an entity or event.
  • D. activeInFieldFrom
    Indicates that an entity is professionally or actively engaged in a particular field starting from a specified point in time.
  • E. hasActivityRegion
    Indicates the geographic or spatial region within which an activity occurs or is applicable.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f44dd48190b2b093aab9a196c8 completed March 27, 2026, 9:26 p.m.
PD Predicate disambiguation batch_69c6f4d44e9481909813e073b194f6f4 completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:45 p.m.