Triple

T14029724
Position Surface form Disambiguated ID Type / Status
Subject Bishop Lavis E337554 entity
Predicate historyShapedBy P43371 FINISHED
Object apartheid spatial planning 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: apartheid spatial planning | Statement: [Bishop Lavis, historyShapedBy, apartheid spatial planning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historyShapedBy
Context triple: [Bishop Lavis, historyShapedBy, apartheid spatial planning]
  • A. historicFor
    Indicates that something holds historical significance or importance specifically in relation to another entity.
  • B. historical
    Indicates that the subject has existed, occurred, or been relevant in the past rather than in the present or future.
  • C. historicalBackground chosen
    Indicates that one entity provides contextual historical information or circumstances that help explain the origin, development, or significance of another entity.
  • D. historicallyRich
    Indicates that an entity possesses significant historical depth, importance, or a wealth of notable past events and heritage.
  • E. politicalHistory
    Indicates that there exists a historical political relationship, involvement, or background connecting the entities, such as past offices held, affiliations, or political events linking them.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa9f8248190930954d609dee5f1 completed April 14, 2026, 12:14 p.m.
PD Predicate disambiguation batch_69de05ab36b48190920efb1869bdb1fe completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:20 p.m.