Triple

T36733697
Position Surface form Disambiguated ID Type / Status
Subject Tom Mboya Street E907406 entity
Predicate hasAssociatedHistoricalPeriod P58089 FINISHED
Object post-independence Kenya 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: post-independence Kenya | Statement: [Tom Mboya Street, hasAssociatedHistoricalPeriod, post-independence Kenya]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAssociatedHistoricalPeriod
Context triple: [Tom Mboya Street, hasAssociatedHistoricalPeriod, post-independence Kenya]
  • A. hasNearbyHistoricPeriod
    Indicates that one historic period occurs close in time or space to another historic period.
  • B. hasHistoryPeriod chosen
    Indicates that something is associated with, belongs to, or occurs within a specific historical period or era.
  • C. hasHistoricalEntity
    Indicates a relationship where one entity includes, references, or is associated with another entity that existed or is defined in a past historical context.
  • D. locatedInHistoricPeriod
    Indicates that an entity exists, occurs, or is situated within a specific historic period or era.
  • E. hasHistoricity
    Indicates that something possesses historical existence, significance, or authenticity, rather than being purely fictional, mythical, or timeless.
  • 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_69f76e75aa6881909b844d00a3888ee5 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd5bf69acc819092a01e4259785dc3 completed May 8, 2026, 3:43 a.m.
PD Predicate disambiguation batch_69fd59b3f4ac8190a7f9dd3142da6e09 completed May 8, 2026, 3:34 a.m.
Created at: May 3, 2026, 4:12 p.m.