Triple

T2389865
Position Surface form Disambiguated ID Type / Status
Subject Kure E48915 entity
Predicate twinCity P1072 FINISHED
Object Lorient, France E153357 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: Lorient, France | Statement: [Kure, twinCity, Lorient, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorient, France
Context triple: [Kure, twinCity, Lorient, France]
  • A. Roscoff, France
    Roscoff, France is a small coastal town in Brittany known for its historic port, thalassotherapy centers, and traditional onion-growing heritage.
  • B. Lorient chosen
    Lorient is a port city in the Brittany region of northwestern France, known for its maritime heritage and annual Interceltic Festival.
  • C. Saint-Malo
    Saint-Malo is a historic walled port city in Brittany, northwestern France, known for its maritime heritage, privateering past, and dramatic coastal setting on the English Channel.
  • D. Beaulieu-sur-Mer, France
    Beaulieu-sur-Mer, France is a picturesque seaside resort town on the French Riviera known for its Mediterranean beaches, Belle Époque architecture, and luxury yachting harbor.
  • E. Loulé
    Loulé is a historic market town and municipality in southern Portugal known for its traditional architecture, lively festivals, and role as a cultural and commercial center in the Algarve region.
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc7de1478819082238e8b8f88ed06 completed March 7, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3d2ad588190a2cf3adab6a9404d completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:57 p.m.