Triple

T13583510
Position Surface form Disambiguated ID Type / Status
Subject Saint Torpes of Pisa E324483 entity
Predicate alsoKnownAs P39 FINISHED
Object Saint Tropez E64451 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: Saint Tropez | Statement: [Saint Torpes of Pisa, alsoKnownAs, Saint Tropez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Tropez
Context triple: [Saint Torpes of Pisa, alsoKnownAs, Saint Tropez]
  • A. Saint-Tropez chosen
    Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
  • B. Vue de Saint-Tropez
    Vue de Saint-Tropez is a vibrant Fauvist painting by French artist Henri Manguin depicting the colorful coastal scenery of the Mediterranean town of Saint-Tropez.
  • C. Magaluf
    Magaluf is a popular resort town on the southwest coast of Mallorca, Spain, known for its sandy beaches and vibrant nightlife.
  • D. Citadel of Saint-Tropez
    The Citadel of Saint-Tropez is a historic seaside fortress overlooking the town and bay of Saint-Tropez on the French Riviera, now housing a maritime history museum.
  • E. Riviera
    Riviera is a television drama series centered on wealth, crime, and intrigue along the glamorous French Riviera.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb03310fc819092a56b9f2d73f560 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d3f80c081908710b46a42fb13a3 completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:49 p.m.