Triple

T8542710
Position Surface form Disambiguated ID Type / Status
Subject Gweru Military Museum E202235 entity
Predicate locatedIn P40 FINISHED
Object Gweru E11624 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: Gweru | Statement: [Gweru Military Museum, locatedIn, Gweru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gweru
Context triple: [Gweru Military Museum, locatedIn, Gweru]
  • A. Gweru chosen
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • B. Golian
    Golian is a Slovak surname most notably associated with Ján Golian, a key military leader of the Slovak National Uprising during World War II.
  • C. Wonsal
    Wonsal is the original family surname of Harry Warner, one of the founding brothers of Warner Bros. film studio.
  • D. Gudia
    Gudia is an Indian film directed by acclaimed filmmaker Goutam Ghose, known for its sensitive storytelling and exploration of complex social and emotional themes.
  • E. Gauda
    Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e26be48190b10bc62fad178dad completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6da3d65c819087ed6b46dfc35885 completed April 2, 2026, 1:22 p.m.
Created at: March 30, 2026, 6:18 p.m.