Triple

T18276166
Position Surface form Disambiguated ID Type / Status
Subject Café de Paris Monte-Carlo E437741 entity
Predicate overlooks P1323 FINISHED
Object Casino Square 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: Casino Square | Statement: [Café de Paris Monte-Carlo, overlooks, Casino Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casino Square
Context triple: [Café de Paris Monte-Carlo, overlooks, Casino Square]
  • A. Casino Square chosen
    Casino Square is a famous, high-profile section of the Monte Carlo street circuit, known for its glamorous setting amid luxury casinos and hotels during the Monaco Grand Prix.
  • B. Moore Square
    Moore Square is a historic urban park and public gathering space in downtown Raleigh, North Carolina, known for its green space, events, and surrounding cultural attractions.
  • C. Colony Square
    Colony Square is a prominent mixed-use complex in Midtown Atlanta featuring offices, retail, dining, and public gathering spaces.
  • D. Lantana Square
    Lantana Square is a local shopping center in Hockessin, Delaware, featuring a variety of retail stores, services, and dining options.
  • E. Crawford Square
    Crawford Square is one of Savannah, Georgia’s historic public squares, known for its preserved 19th-century character and role in the city’s distinctive urban plan.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50051bccc8190832eacdb6945d6b7 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:34 a.m.