Triple

T8648232
Position Surface form Disambiguated ID Type / Status
Subject Australian Imperial Force E205032 entity
Predicate servedOverseas P84123 FINISHED
Object true 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: true | Statement: [Australian Imperial Force, servedOverseas, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servedOverseas
Context triple: [Australian Imperial Force, servedOverseas, true]
  • A. couldServeOverseas
    Indicates that an entity has the ability or eligibility to perform service or duties in a foreign or overseas location.
  • B. hasCountryServed
    Indicates that a person or organization has provided service to, or performed duties on behalf of, a specified country.
  • C. hasOverseasPresenceIn
    Indicates that an entity maintains operations, offices, or activities in a foreign country or region.
  • D. servesCountryGroup
    Indicates that an entity provides service, support, or functions on behalf of a specified group of countries.
  • E. locatedInOverseasCountry
    Indicates that an entity is situated in a country that is overseas relative to a given reference location or jurisdiction.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4812b7bc8190acb40da57cad293a completed March 31, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69cc45619460819091e83ffdec99c865 completed March 31, 2026, 10:06 p.m.
PDg Predicate description generation batch_69cc473e44988190a3b02498e5fff668 completed March 31, 2026, 10:14 p.m.
Created at: March 30, 2026, 6:29 p.m.