Triple

T17455514
Position Surface form Disambiguated ID Type / Status
Subject Swiss mercenaries E425016 entity
Predicate legalStatusInOrigin P62866 FINISHED
Object subject to Swiss cantonal regulations 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: subject to Swiss cantonal regulations | Statement: [Swiss mercenaries, legalStatusInOrigin, subject to Swiss cantonal regulations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusInOrigin
Context triple: [Swiss mercenaries, legalStatusInOrigin, subject to Swiss cantonal regulations]
  • A. legalStatusInHomeland chosen
    Indicates the legal status or classification an entity holds within its country or place of origin.
  • B. legalStatusAtArrival
    Indicates the legal status or classification an entity held at the time it first arrived at a particular place or jurisdiction.
  • C. legalStatusAtIssue
    Indicates that the legal status of an entity is the central subject of dispute, consideration, or determination in a legal context.
  • D. legalStatusAtApproval
    Indicates the legal status or classification an entity held at the time it was formally approved.
  • E. legalStatusBefore
    Indicates the legal condition or classification that applied to an entity prior to a specified event, change, or point in time.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45141e1d48190b7de9159f1fd71fa completed April 19, 2026, 3:51 a.m.
PD Predicate disambiguation batch_69e3b4f0e3fc819094e466b74622c956 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:47 a.m.