Triple

T654874
Position Surface form Disambiguated ID Type / Status
Subject Gweru E11624 entity
Predicate railConnectsTo P13914 FINISHED
Object Harare E8616 NE FINISHED

How this triple was built (3 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: Harare | Statement: [Gweru, railConnectsTo, Harare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harare
Context triple: [Gweru, railConnectsTo, Harare]
  • A. Harare chosen
    Harare is the largest city and main economic, political, and cultural center of Zimbabwe.
  • B. Masvingo
    Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
  • C. Bulawayo
    Bulawayo is Zimbabwe’s second-largest city and a major industrial, cultural, and transport hub in the southwestern part of the country.
  • D. Mutare
    Mutare is a major city in eastern Zimbabwe, serving as the capital of Manicaland Province and an important commercial and transport hub near the border with Mozambique.
  • E. Chivhu, Zimbabwe
    Chivhu, Zimbabwe is a small town in central Zimbabwe known as an agricultural center and one of the country’s oldest European-settled communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: railConnectsTo
Context triple: [Gweru, railConnectsTo, Harare]
  • A. hasRailStation
    Indicates that one entity possesses, contains, or is served by a rail station.
  • B. interchangeStation
    Indicates a station where passengers can transfer between different routes, lines, or modes of transportation.
  • C. railwayJunctionFor
    Indicates that a location serves as a junction point where multiple railway lines or routes connect or intersect for a given railway network or service.
  • D. hasMajorRailLinksTo chosen
    Indicates that there are significant railway connections or routes between two locations.
  • E. hasRailwayStation
    Indicates that a place or location is served by, or contains, a railway station.
  • F. None of above.

Provenance (4 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4bb5b881908a18b5ec1c94e0cf completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc95ec20819082117e90f032d381 completed March 2, 2026, 6:53 p.m.
PD Predicate disambiguation batch_69a49d121cec81909986c91291bb4ca8 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:36 p.m.