Triple

T14093237
Position Surface form Disambiguated ID Type / Status
Subject Irish Ferries E339186 entity
Predicate servesPort P1763 FINISHED
Object Roscoff E636551 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: Roscoff | Statement: [Irish Ferries, servesPort, Roscoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roscoff
Context triple: [Irish Ferries, servesPort, Roscoff]
  • A. Roscoff chosen
    Roscoff is a picturesque coastal town in Brittany, France, known for its historic port, thalassotherapy centers, and traditional onion-exporting heritage.
  • B. Concarneau
    Concarneau is a coastal town and fishing port in Brittany, France, known for its walled medieval "Ville Close" and maritime heritage.
  • C. Landerneau
    Landerneau is a historic town in the Finistère department of Brittany in northwestern France, known for its medieval architecture and distinctive inhabited bridge over the Élorn River.
  • D. Dinard
    Dinard is a coastal resort town in northwestern France’s Brittany region, known for its Belle Époque villas and beaches along the Emerald Coast.
  • E. Morlaix
    Morlaix is a historic town and port in the Finistère department of Brittany in northwestern France, known for its picturesque old center and impressive railway viaduct.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee47f0881908aea8b5231b93f2f completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf006f7481909149779de4d7cd2e completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.