Triple

T12132176
Position Surface form Disambiguated ID Type / Status
Subject Line 2 (Brussels Metro) E288959 entity
Predicate servesStation P839 FINISHED
Object Louise / Louiza E5411 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: Louise / Louiza | Statement: [Line 2 (Brussels Metro), servesStation, Louise / Louiza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louise / Louiza
Context triple: [Line 2 (Brussels Metro), servesStation, Louise / Louiza]
  • A. Louise
    Louise is an opera by French composer Gustave Charpentier, renowned for its realistic portrayal of Parisian working-class life and its influential role in early 20th-century French opera.
  • B. Louise chosen
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • C. Louise Diane
    Louise Diane was an 18th-century French princess of the House of Orléans, known for her brief life and marriage into the princely House of Conti.
  • D. Louise-Marie
    Louise-Marie is a French royal given name notably borne by Princess Louise-Marie of Orléans, a 19th-century Belgian queen consort.
  • E. Mary-Louise
    Mary-Louise is a feminine given name most notably associated with American actress Mary-Louise Parker.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158b34648190b5eecdf9b07fbb3f completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68c8ee081908a0331805f62cb0d completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.