Triple

T17851560
Position Surface form Disambiguated ID Type / Status
Subject Zittau E445817 entity
Predicate river P165 FINISHED
Object Mandau E863304 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: Mandau | Statement: [Zittau, river, Mandau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandau
Context triple: [Zittau, river, Mandau]
  • A. Mandau chosen
    The Mandau is a river in Central Europe that flows through the Czech Republic and Germany before joining the Lusatian Neisse.
  • B. Makuna
    Makuna is an indigenous Tucanoan language spoken by the Makuna people of the northwest Amazon region, primarily in Colombia and Brazil.
  • C. Mandegusu
    Mandegusu is an alternate name for Simbo, an island in the Western Province of the Solomon Islands in the South Pacific.
  • D. Cariamanga
    Cariamanga is a town in southern Ecuador known as an important urban center within Loja Province, noted for its Andean setting and regional commerce.
  • E. Tagakaulo
    Tagakaulo are an indigenous ethnic group in the southern Philippines, traditionally inhabiting parts of Mindanao and known for their distinct language and cultural practices.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48fff6c288190a2b5e60b66c03ddc completed April 19, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a030c5e368081908df3a20cd40aeb9f completed May 12, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:17 a.m.