Triple

T25447536
Position Surface form Disambiguated ID Type / Status
Subject Nairobi–Karachi E637676 entity
Predicate servedRegion1 P30177 FINISHED
Object East Africa NE NERFINISHED

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: East Africa | Statement: [Nairobi–Karachi, servedRegion1, East Africa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servedRegion1
Context triple: [Nairobi–Karachi, servedRegion1, East Africa]
  • A. servesRegionAcrossFrom
    Indicates that a service or entity operates in a region that is geographically located directly across from another specified region.
  • B. issuerRegionServed
    Indicates the geographic region or area that the issuer provides services to or operates within.
  • C. serviceRegion chosen
    Indicates the geographic area or jurisdiction within which a service is provided or applicable.
  • D. formerServesRegion
    Indicates that an entity previously served, represented, or had official responsibility for a given region, but no longer does so.
  • E. servedProvince
    Indicates that an entity has provided services or held jurisdictional authority over a specified province.
  • 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_69e75db7c5048190b8da9cd7eeedb610 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f6b2a65c7c8190ac40f1466ceadefc completed May 3, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f6b14d7d508190bc7d4c89dfba4a32 completed May 3, 2026, 2:22 a.m.
Created at: April 21, 2026, 2:02 p.m.