Triple

T10382288
Position Surface form Disambiguated ID Type / Status
Subject Battle of Metz E244669 entity
Predicate location P40 FINISHED
Object Lorraine E68529 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: Lorraine | Statement: [Battle of Metz, location, Lorraine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorraine
Context triple: [Battle of Metz, location, Lorraine]
  • A. Lorraine chosen
    Lorraine is a historical and cultural region in northeastern France known for its strategic location bordering Luxembourg, Germany, and Belgium, and for its mixed French-German heritage.
  • B. Lorraine
    Lorraine is a central character in Gloria Naylor’s novel *The Women of Brewster Place*, a vulnerable and tragic figure whose experiences highlight themes of racism, sexism, and homophobia in an inner-city housing project.
  • C. de Lorraine
    de Lorraine is the noble family name of a prominent French aristocratic and ecclesiastical lineage, notably associated with high-ranking churchmen such as the Cardinal of Lorraine.
  • D. Lower Lorraine
    Lower Lorraine was a medieval duchy within the Holy Roman Empire that encompassed much of the Low Countries and parts of western Germany.
  • E. French Lorraine
    French Lorraine is a historical region in northeastern France whose culture reflects a blend of French and Germanic influences.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e992d8e08190aaa9a04925f52ccc completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79592512c8190b999191f16e3133c completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:04 p.m.