Triple

T23971322
Position Surface form Disambiguated ID Type / Status
Subject Lusaka–Malawi transport corridor E604240 entity
Predicate capitalOfCountryConnected P120859 FINISHED
Object Lusaka 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: Lusaka | Statement: [Lusaka–Malawi transport corridor, capitalOfCountryConnected, Lusaka]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: capitalOfCountryConnected
Context triple: [Lusaka–Malawi transport corridor, capitalOfCountryConnected, Lusaka]
  • A. governingCountryCapitalConnectedTo chosen
    Indicates that the capital city of the governing country is directly connected (e.g., via infrastructure, transport, or communication links) to the referenced location or entity.
  • B. countryCapitalConnection
    Indicates a relationship where a specific city serves as the official capital of a particular country.
  • C. connectsCapitalOf
    Indicates a relationship where one entity serves as the capital city of another entity, linking the capital to the political or administrative unit it represents.
  • D. hasCountryCapitalConnection
    Indicates a relationship in which a specific country is associated with its official capital city.
  • E. regionCapitalConnected
    Indicates that a capital city is directly connected (e.g., by transport or infrastructure) to its surrounding region.
  • F. None of above.

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_69e29543019c8190872462e593cc50b4 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d1dc3f088190a55faf6f01ddf4bf completed April 29, 2026, 9:39 a.m.
PD Predicate disambiguation batch_69f161578d54819084a8b35496299993 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 9:25 p.m.