Triple

T11745192
Position Surface form Disambiguated ID Type / Status
Subject Bielefeld E279260 entity
Predicate hasTwinTown P919 FINISHED
Object Concarneau E306123 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: Concarneau | Statement: [Bielefeld, hasTwinTown, Concarneau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concarneau
Context triple: [Bielefeld, hasTwinTown, Concarneau]
  • A. Concarneau chosen
    Concarneau is a coastal town and fishing port in Brittany, France, known for its walled medieval "Ville Close" and maritime heritage.
  • B. 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.
  • C. Roscoff
    Roscoff is a picturesque coastal town in Brittany, France, known for its historic port, thalassotherapy centers, and traditional onion-exporting heritage.
  • D. Lorient
    Lorient is a port city in the Brittany region of northwestern France, known for its maritime heritage and annual Interceltic Festival.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f2a38c8190a682d8dae1ab9415 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0902f8c448190a71512353788ef09 completed April 28, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:41 p.m.