Triple

T18038408
Position Surface form Disambiguated ID Type / Status
Subject National Service in the United Kingdom E431573 entity
Predicate succeededEarlierSystem P50932 FINISHED
Object wartime conscription 1939–1945 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: wartime conscription 1939–1945 | Statement: [National Service in the United Kingdom, succeededEarlierSystem, wartime conscription 1939–1945]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: succeededEarlierSystem
Context triple: [National Service in the United Kingdom, succeededEarlierSystem, wartime conscription 1939–1945]
  • A. succeededUnder
    Indicates that one entity achieved success or attained a position while operating under the authority, leadership, or conditions established by another entity.
  • B. succeededByName
    Indicates that one entity is followed or replaced by another entity identified by a specific name.
  • C. previousSystemClosed
    Indicates that a prior system, session, or process has been properly terminated or closed before the current context.
  • D. succeededByEvent
    Indicates that one event directly follows and replaces another in a temporal or sequential order.
  • E. successorSystem chosen
    Indicates that one system directly follows and replaces another in function, role, or version.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be3cbe8c8190ba216eeebfc3cbec completed April 19, 2026, 11:36 a.m.
PD Predicate disambiguation batch_69e3f908da508190a088aa837ea5b7af completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 10:25 a.m.