Triple

T23067476
Position Surface form Disambiguated ID Type / Status
Subject Washington Artillery Park E575086 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Café du Monde NE NERFINISHED

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: Café du Monde | Statement: [Washington Artillery Park, hasNearbyAttraction, Café du Monde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Café du Monde
Context triple: [Washington Artillery Park, hasNearbyAttraction, Café du Monde]
  • A. Café du Monde chosen
    Café du Monde is a famous New Orleans coffee stand renowned for its chicory coffee and powdered-sugar-covered beignets.
  • B. Café du Dôme
    Café du Dôme was a famous early-20th-century Parisian artists’ café in Montparnasse that served as a key gathering place for avant-garde painters, writers, and intellectuals.
  • C. Café des Délices
    Café des Délices is a famous cliffside café in Sidi Bou Said, Tunisia, renowned for its stunning Mediterranean views and traditional blue-and-white setting.
  • D. Rose Caffee
    Rose Caffee is a central character in the television drama series "Brotherhood," which follows the complicated lives of two Irish-American brothers in Providence, Rhode Island.
  • E. New York Café
    New York Café is a well-known café that serves as a popular social and cultural gathering spot, attracting regular patrons such as musician Jake Blount.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a4e2fc81909704333306737f80 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.