Triple

T8883797
Position Surface form Disambiguated ID Type / Status
Subject Louis Hoym de Marien E211474 entity
Predicate notableWork P4 FINISHED
Object Tour Montparnasse E41187 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: Tour Montparnasse | Statement: [Louis Hoym de Marien, notableWork, Tour Montparnasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tour Montparnasse
Context triple: [Louis Hoym de Marien, notableWork, Tour Montparnasse]
  • A. Tour Montparnasse chosen
    Tour Montparnasse is a prominent modern skyscraper in Paris known for its height and panoramic observation deck overlooking the city.
  • B. Tour Rive Gauche
    Tour Rive Gauche is a high-rise residential and office tower located along the Seine in Paris’s 15th arrondissement.
  • C. Tour Beaugrenelle
    Tour Beaugrenelle is a high-rise residential and office tower in Paris, France, known for its modernist architecture along the Seine.
  • D. Tour Part-Dieu (Le Crayon)
    Tour Part-Dieu, commonly called "Le Crayon" for its pencil-like shape, is a prominent office skyscraper and one of the most recognizable landmarks in Lyon, France.
  • E. Tour Perret
    Tour Perret is a prominent modernist high-rise tower in Amiens, France, known as one of the country’s earliest skyscrapers and a key feature of the city’s skyline.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc616b2d988190b923ef1e33aab787 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1c641048190aabbc10f461099f4 completed April 3, 2026, 1:33 p.m.
Created at: March 30, 2026, 6:53 p.m.