Triple

T9852414
Position Surface form Disambiguated ID Type / Status
Subject Peel Commission partition proposal E239498 entity
Predicate proposedRetentionOf P6164 FINISHED
Object British control over Jerusalem 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: British control over Jerusalem | Statement: [Peel Commission partition proposal, proposedRetentionOf, British control over Jerusalem]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: proposedRetentionOf
Context triple: [Peel Commission partition proposal, proposedRetentionOf, British control over Jerusalem]
  • A. retained chosen
    Indicates that one entity keeps possession, control, or continued engagement of another entity over a period of time.
  • B. retentionMethod
    Indicates the method or strategy used to retain or keep something (such as data, customers, or resources) over time.
  • C. leafRetention
    Indicates whether an entity retains its leaves (e.g., remains evergreen) or sheds them seasonally.
  • D. subjectToRetentionElections
    Indicates that an entity is required to undergo retention elections to determine whether it continues in its position or role.
  • E. keptIn
    Indicates that one entity is stored, contained, or maintained inside another entity as its location or container.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb375ba448190a32cca2b0f376ac1 completed April 2, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69cd03e57cac8190914bb5ae608a6e0e completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:34 p.m.