Triple

T14777019
Position Surface form Disambiguated ID Type / Status
Subject Sponsored Reserves E347285 entity
Predicate statusWhenNotMobilised P10078 FINISHED
Object employees of sponsoring company 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: employees of sponsoring company | Statement: [Sponsored Reserves, statusWhenNotMobilised, employees of sponsoring company]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusWhenNotMobilised
Context triple: [Sponsored Reserves, statusWhenNotMobilised, employees of sponsoring company]
  • A. canBeMobilisedFor
    Indicates that an entity is capable of being called upon, activated, or deployed for a particular purpose, task, or operation.
  • B. militaryStatus chosen
    Indicates the relationship between an entity and a military organization in terms of service condition, such as active duty, reserve, veteran, or non-military status.
  • C. statusInSI
    Indicates that an entity’s status or condition is specified according to the International System of Units (SI) or an SI-based standard.
  • D. musteredOutOfService
    Indicates that an entity has been formally discharged or released from active service or duty.
  • E. notStatus
    Indicates that an entity does not have, is not in, or does not match a specified status or state.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec817c39081909b08a0ffdfce9936 completed April 14, 2026, 11:04 p.m.
PD Predicate disambiguation batch_69de8c02e5c08190943c27594026faf7 completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:31 a.m.