Triple

T10873571
Position Surface form Disambiguated ID Type / Status
Subject B1 national road E256716 entity
Predicate connectsTo P845 FINISHED
Object Karasburg E654905 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: Karasburg | Statement: [B1 national road, connectsTo, Karasburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karasburg
Context triple: [B1 national road, connectsTo, Karasburg]
  • A. Karasburg chosen
    Karasburg is a small town in southern Namibia that serves as a local commercial and transport hub near the South African border.
  • B. Phillippsburg
    Phillippsburg is a historic town in southwestern Germany, known for its strategic fortress on the Rhine and its role in various European military conflicts.
  • C. Labpur
    Labpur is a town and administrative center in the Birbhum district of West Bengal, India, known for its rural cultural heritage and local markets.
  • D. Lydenburg
    Lydenburg is a historic town in South Africa known for its early gold-mining heritage and proximity to scenic routes and nature reserves in the Mpumalanga province.
  • E. Koutiala
    Koutiala is a major city in southern Mali known as an important center for cotton production and 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_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_69dff7ddafc48190824c133bb33b9efe completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:21 p.m.