Triple

T11383237
Position Surface form Disambiguated ID Type / Status
Subject Emery Roth E269649 entity
Predicate notableWork P4 FINISHED
Object The San Remo E274773 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: The San Remo | Statement: [Emery Roth, notableWork, The San Remo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The San Remo
Context triple: [Emery Roth, notableWork, The San Remo]
  • A. The San Remo chosen
    The San Remo is a landmark twin-towered luxury apartment building in Manhattan, renowned for its distinctive Art Deco–influenced design and prominent celebrity residents.
  • B. Riva Ligure
    Riva Ligure is a small coastal town on the Italian Riviera in Liguria, known for its beaches, historic center, and seaside promenade.
  • C. Cannero Riviera
    Cannero Riviera is a picturesque lakeside town on the western shore of Lake Maggiore in northern Italy, known for its mild climate, historic castles, and scenic waterfront.
  • D. Marina di Campo
    Marina di Campo is a coastal town on the Italian island of Elba, known for its long sandy beach and role as a popular tourist destination in the Tuscan Archipelago.
  • E. Cupra Marittima
    Cupra Marittima is a coastal town and comune on Italy’s Adriatic Riviera in the Marche region, known for its beaches, tourism, and archaeological heritage.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc34f1f0819082dd977313ee6070 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556abf5d081909a837837f169bd37 completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:34 p.m.