Triple

T19747565
Position Surface form Disambiguated ID Type / Status
Subject Bay of Morlaix E474292 entity
Predicate nearTown P2064 FINISHED
Object Locquénolé
Locquénolé is a small coastal commune in the Finistère department of Brittany in northwestern France, known for its picturesque setting on the Bay of Morlaix.
 E1394684 NE FINISHED

How this triple was built (4 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: Locquénolé | Statement: [Bay of Morlaix, nearTown, Locquénolé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Locquénolé
Context triple: [Bay of Morlaix, nearTown, Locquénolé]
  • A. Rocoux
    Rocoux is a district of the city of Liège in eastern Belgium, known historically as the site of the 1746 Battle of Rocoux during the War of the Austrian Succession.
  • B. Louletanos
    Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Loffre
    Loffre is a small commune in northern France located within the administrative area of the Douai arrondissement in the Nord department.
  • E. Lepechin
    Lepechin was an 18th-century Russian naturalist and explorer known for his extensive zoological and botanical studies across the Russian Empire.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Locquénolé
Triple: [Bay of Morlaix, nearTown, Locquénolé]
Generated description
Locquénolé is a small coastal commune in the Finistère department of Brittany in northwestern France, known for its picturesque setting on the Bay of Morlaix.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Locquénolé
Target entity description: Locquénolé is a small coastal commune in the Finistère department of Brittany in northwestern France, known for its picturesque setting on the Bay of Morlaix.
  • A. Rocoux
    Rocoux is a district of the city of Liège in eastern Belgium, known historically as the site of the 1746 Battle of Rocoux during the War of the Austrian Succession.
  • B. Louletanos
    Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Loffre
    Loffre is a small commune in northern France located within the administrative area of the Douai arrondissement in the Nord department.
  • E. Lepechin
    Lepechin was an 18th-century Russian naturalist and explorer known for his extensive zoological and botanical studies across the Russian Empire.
  • F. None of above. chosen

Provenance (5 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65295f3b88190a541354f41e3ea1d completed April 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd62a4948190a18cb92909593839 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07be450e608190a008095b0502b2d3 completed May 16, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a07bed4c8d8819094fafce7eee69ee7 completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:47 p.m.