Triple

T11007725
Position Surface form Disambiguated ID Type / Status
Subject Hanover, Lower Saxony, Germany E260163 entity
Predicate twinnedWith P1072 FINISHED
Object Blantyre, Malawi E641212 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: Blantyre, Malawi | Statement: [Hanover, Lower Saxony, Germany, twinnedWith, Blantyre, Malawi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blantyre, Malawi
Context triple: [Hanover, Lower Saxony, Germany, twinnedWith, Blantyre, Malawi]
  • A. Blantyre, Malawi chosen
    Blantyre, Malawi is the country’s largest commercial and industrial city, located in the southern region and serving as a major economic and transport hub.
  • B. Lilongwe
    Lilongwe is the largest city and administrative and political center of Malawi, located in the country’s central region.
  • C. Kabwe, Zambia
    Kabwe, Zambia is a central Zambian town historically known as a major mining and railway hub and as the birthplace of novelist Wilbur Smith.
  • D. Northern Region, Malawi
    Northern Region, Malawi is the least populated and most mountainous of Malawi’s three regions, known for its high plateaus, cooler climate, and protected areas such as Nyika National Park.
  • E. Zomba
    Zomba is a historic city in southern Malawi that served as the country’s former capital and remains an important administrative and educational center.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79757bdcc8190900b267826eece21 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e37486b23081909ad282397c50a913 completed April 18, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:25 p.m.