Triple

T8576518
Position Surface form Disambiguated ID Type / Status
Subject Kikuyu Campus E203060 entity
Predicate locatedIn P40 FINISHED
Object Kikuyu E204160 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: Kikuyu | Statement: [Kikuyu Campus, locatedIn, Kikuyu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kikuyu
Context triple: [Kikuyu Campus, locatedIn, Kikuyu]
  • A. Kikuyu
    Kikuyu is a major Bantu language spoken primarily by the Kikuyu people of central Kenya.
  • B. Coolabah
    Coolabah is a small rural town in western New South Wales, Australia, known for its remote outback setting and role as a service stop along regional transport routes.
  • C. Murrurundi
    Murrurundi is a small rural town in New South Wales, Australia, known for its scenic setting in the Upper Hunter region and its historic buildings.
  • D. Kikuyu highlands chosen
    The Kikuyu highlands are a fertile, densely populated upland region in central Kenya, historically inhabited by the Kikuyu people and known for its agriculture and proximity to Nairobi.
  • E. Murray Mallee
    Murray Mallee is a semi-arid, mallee-dominated biogeographic region in southeastern Australia characterized by low-growing eucalypt scrub, sandy soils, and dryland agriculture.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea97787481909ebbaa45f59cbdaa completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce899dd7d48190b44338b92ad68bd0 completed April 2, 2026, 3:22 p.m.
Created at: March 30, 2026, 6:21 p.m.