Triple

T29712027
Position Surface form Disambiguated ID Type / Status
Subject Reserve Officer School (Hamina) E751806 entity
Predicate graduatesReceiveRank P35205 FINISHED
Object reserve second lieutenant 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: reserve second lieutenant | Statement: [Reserve Officer School (Hamina), graduatesReceiveRank, reserve second lieutenant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: graduatesReceiveRank
Context triple: [Reserve Officer School (Hamina), graduatesReceiveRank, reserve second lieutenant]
  • A. hasRankUponGraduation chosen
    Indicates that an entity is assigned a specific rank or standing at the time of its graduation.
  • B. successfulGraduatesReceive
    Indicates that individuals who successfully graduate are given or obtain something, such as a degree, certification, or benefit, as a result of their graduation.
  • C. graduates
    Indicates that an individual successfully completes an educational program and receives a degree or qualification from an institution.
  • D. graduatesTitle
    Indicates that an individual receives or is awarded a specific academic or professional title upon graduation.
  • E. grantsRank
    Indicates that one entity confers or assigns a particular rank, status, or level to another entity.
  • 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_69f0d62748848190b030d0a703629a7d completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672da10e08190907fec9b1a232f63 completed May 2, 2026, 9:55 p.m.
PD Predicate disambiguation batch_69f6659f246081909821c5f452d14e8f completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 7:31 p.m.