Triple

T12223363
Position Surface form Disambiguated ID Type / Status
Subject Santa Catarina E291275 entity
Predicate hasCity P316 FINISHED
Object Joinville E278155 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: Joinville | Statement: [Santa Catarina, hasCity, Joinville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joinville
Context triple: [Santa Catarina, hasCity, Joinville]
  • A. Joinville chosen
    Joinville is a major city in southern Brazil known for its strong German heritage, industrial economy, and prominent cultural festivals.
  • B. Joinville
    Joinville is a small historic commune in northeastern France known for its Renaissance château and picturesque setting along the Marne River.
  • C. Joinville-le-Pont
    Joinville-le-Pont is a suburban commune in the Val-de-Marne department near Paris, France, known for its riverside setting along the Marne and proximity to the Bois de Vincennes.
  • D. Le Petit-Quevilly
    Le Petit-Quevilly is a suburban commune in the Normandy region of northern France, located just southwest of Rouen along the Seine River.
  • E. Val-de-Reuil
    Val-de-Reuil is a planned new town and commune in northern France, located in the Eure department of the Normandy region.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca11f788190bad2efb6c83ffccb completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6555903b08190a8c70bf7eda47dff completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:51 p.m.