Triple

T20627914
Position Surface form Disambiguated ID Type / Status
Subject Kampala–Jinja Highway E506868 entity
Predicate passesNear P416 FINISHED
Object Njeru 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: Njeru | Statement: [Kampala–Jinja Highway, passesNear, Njeru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Njeru
Context triple: [Kampala–Jinja Highway, passesNear, Njeru]
  • A. Njeru chosen
    Njeru is a town in eastern Uganda located near the source of the Nile River, known for its industrial activities and proximity to Jinja.
  • B. Nisu
    Nisu is a Tibeto-Burman language spoken primarily by a subgroup of the Yi people in southwestern China.
  • C. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • D. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • E. Nansio
    Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe645888190b639ebedc5b3041a completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.