Triple

T10567106
Position Surface form Disambiguated ID Type / Status
Subject Charles, Duke of Guise E249377 entity
Predicate houseSeat P42531 FINISHED
Object Joinville E557422 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: [Charles, Duke of Guise, houseSeat, Joinville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joinville
Context triple: [Charles, Duke of Guise, houseSeat, Joinville]
  • A. Joinville
    Joinville is a major city in southern Brazil known for its strong German heritage, industrial economy, and prominent cultural festivals.
  • B. Joinville chosen
    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. 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.
  • E. Le Grand-Quevilly
    Le Grand-Quevilly is a suburban commune in the Normandy region of northern France, located near Rouen and known for its residential character and local cultural facilities.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ef5848190b76d671ea2d26314 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b42879481909f9c98b2579c10a1 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:36 p.m.