Triple

T8422372
Position Surface form Disambiguated ID Type / Status
Subject Beach at Trouville E198890 entity
Predicate depicts P1581 FINISHED
Object Trouville-sur-Mer E421527 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: Trouville-sur-Mer | Statement: [Beach at Trouville, depicts, Trouville-sur-Mer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trouville-sur-Mer
Context triple: [Beach at Trouville, depicts, Trouville-sur-Mer]
  • A. Trouville-sur-Mer chosen
    Trouville-sur-Mer is a seaside resort town on the Normandy coast of northwestern France, known for its beaches, fishing port, and 19th-century villas.
  • B. Vierville-sur-Mer
    Vierville-sur-Mer is a coastal commune in Normandy, France, historically significant as one of the key landing areas during the D-Day invasion of World War II.
  • C. Cabourg
    Cabourg is a seaside resort town in northwestern France, known for its Belle Époque architecture, sandy beaches, and association with writer Marcel Proust.
  • D. Colleville-sur-Mer
    Colleville-sur-Mer is a commune in Normandy, France, best known for its location by the D-Day landing beaches and the Normandy American Cemetery.
  • E. Varengeville-sur-Mer
    Varengeville-sur-Mer is a coastal village in Normandy, France, known for its dramatic cliffs, artistic heritage, and picturesque landscapes that have long attracted painters and cultural figures.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb859e22f88190a61e7dd6537644b0 completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce3988932c8190969c4c0295348636 completed April 2, 2026, 9:40 a.m.
Created at: March 30, 2026, 6:06 p.m.