Triple

T10873549
Position Surface form Disambiguated ID Type / Status
Subject B1 national road E256716 entity
Predicate hasTerminus P388 FINISHED
Object Oshikango E893228 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: Oshikango | Statement: [B1 national road, hasTerminus, Oshikango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oshikango
Context triple: [B1 national road, hasTerminus, Oshikango]
  • A. Oshikango chosen
    Oshikango is a border town in northern Namibia that serves as a key commercial and transport hub between Namibia and Angola.
  • B. Rutshuru
    Rutshuru is a town in the eastern Democratic Republic of the Congo known for its strategic location near the borders with Rwanda and Uganda and its history of conflict and humanitarian challenges.
  • C. Ishkashimi
    Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
  • D. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • E. Makokou
    Makokou is a small town in northeastern Gabon that serves as a key access point to the surrounding rainforest and protected areas.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751891b508190959784f212e06acb completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23b8b3fd48190b36e34dc19fa5193 completed April 17, 2026, 1:54 p.m.
Created at: April 8, 2026, 9:21 p.m.