Triple

T13480889
Position Surface form Disambiguated ID Type / Status
Subject Gigiri, Nairobi E318367 entity
Predicate hasNearbyArea P4647 FINISHED
Object Rosslyn E718906 NE 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: Rosslyn | Statement: [Gigiri, Nairobi, hasNearbyArea, Rosslyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosslyn
Context triple: [Gigiri, Nairobi, hasNearbyArea, Rosslyn]
  • A. Rosslyn
    Rosslyn is a village in Midlothian, Scotland, best known for the historic and ornately carved Rosslyn Chapel featured in literature and popular culture.
  • B. Rosslyn chosen
    Rosslyn is an industrial suburb in the northern part of Pretoria, South Africa, known for its major automotive manufacturing plants and related factories.
  • C. Rosslyn
    Rosslyn is a major urban business district in Arlington, Virginia, known for its high-rise skyline, corporate offices, and views across the Potomac River to Washington, D.C.
  • D. Rosslyn
    Rosslyn is a given name most notably associated with British Admiral of the Fleet Rosslyn Wemyss, a senior naval commander during World War I.
  • E. Rosslyn
    Rosslyn is a small rural community located within the Municipality of Oliver Paipoonge in northwestern Ontario, Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf36c6b08190ba99400600e0b662 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463340fc8190b1128bd1d26f91ab completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.