Triple

T9218391
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg Province E221297 entity
Predicate containsTown P847 FINISHED
Object Florenville E336534 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: Florenville | Statement: [Luxembourg Province, containsTown, Florenville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florenville
Context triple: [Luxembourg Province, containsTown, Florenville]
  • A. Florenville chosen
    Florenville is a picturesque town in southern Belgium’s Wallonia region, known for its scenic setting along the Semois River and surrounding Ardennes landscapes.
  • B. Maillardville
    Maillardville is a historic, predominantly Francophone neighbourhood in Coquitlam, British Columbia, known for its early 20th-century French-Canadian mill community roots.
  • C. Tailleville
    Tailleville is a small commune in the Calvados department of the Normandy region in northwestern France.
  • D. Brouseville
    Brouseville is a small rural community located within the township of Edwardsburgh/Cardinal in eastern Ontario, Canada.
  • E. Mebanesville
    Mebanesville was the original name of the city now known as Mebane in North Carolina.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda730f688190b64b2cc8c4898ac3 completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0779651588190a00179dec66bc228 completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:27 p.m.