Triple

T16469930
Position Surface form Disambiguated ID Type / Status
Subject Canton of Moreuil E400032 entity
Predicate containsCommune P15149 FINISHED
Object Vrély
Vrély is a small rural commune in the Somme department of northern France.
 E1215459 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: Vrély | Statement: [Canton of Moreuil, containsCommune, Vrély]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vrély
Context triple: [Canton of Moreuil, containsCommune, Vrély]
  • A. Vradeto
    Vradeto is a traditional stone-built mountain village in the Zagori region of Epirus, Greece, known for its dramatic setting and historic Vradeto Steps path.
  • B. Vörnle
    Vörnle is a German-language surname associated with individuals such as Käthe Vörnle.
  • C. Vezia
    Vezia is a small municipality in the canton of Ticino in southern Switzerland, located just north of the city of Lugano.
  • D. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • E. Veleslavín
    Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
  • 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: Vrély
Triple: [Canton of Moreuil, containsCommune, Vrély]
Generated description
Vrély is a small rural commune in the Somme department of northern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vrély
Target entity description: Vrély is a small rural commune in the Somme department of northern France.
  • A. Vradeto
    Vradeto is a traditional stone-built mountain village in the Zagori region of Epirus, Greece, known for its dramatic setting and historic Vradeto Steps path.
  • B. Vörnle
    Vörnle is a German-language surname associated with individuals such as Käthe Vörnle.
  • C. Vezia
    Vezia is a small municipality in the canton of Ticino in southern Switzerland, located just north of the city of Lugano.
  • D. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • E. Veleslavín
    Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcfed6c8190b8dbe4b65b0ab817 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5af4308190bd023624de35027f completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a0050c5d4548190a674c1c19f08a9fd completed May 10, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0051a7ae208190b33d42cc8d4bb21f completed May 10, 2026, 9:36 a.m.
Created at: April 10, 2026, 5:11 a.m.