Triple

T21550652
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Beaune E531750 entity
Predicate contains P35 FINISHED
Object Seurre
Seurre is a small commune in eastern France’s Côte-d’Or department, known for its historic town center and location along the Saône River.
 E1490752 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: Seurre | Statement: [arrondissement of Beaune, contains, Seurre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seurre
Context triple: [arrondissement of Beaune, contains, Seurre]
  • A. Ille
    Ille is a small river in northwestern France that flows through the city of Rennes and joins the Vilaine River.
  • B. Landes
    Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
  • C. Outremer
    Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
  • D. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • E. Estyn
    Estyn is the education and training inspectorate for Wales, responsible for evaluating the quality and standards of schools, colleges, and other learning providers.
  • 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: Seurre
Triple: [arrondissement of Beaune, contains, Seurre]
Generated description
Seurre is a small commune in eastern France’s Côte-d’Or department, known for its historic town center and location along the Saône River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seurre
Target entity description: Seurre is a small commune in eastern France’s Côte-d’Or department, known for its historic town center and location along the Saône River.
  • A. Ille
    Ille is a small river in northwestern France that flows through the city of Rennes and joins the Vilaine River.
  • B. Landes
    Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
  • C. Outremer
    Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
  • D. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • E. Estyn
    Estyn is the education and training inspectorate for Wales, responsible for evaluating the quality and standards of schools, colleges, and other learning providers.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb59258b88190966c18f1f519dad6 completed April 27, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eee3c6408190bf0873b01660612a completed May 17, 2026, 4:37 p.m.
NEDg Description generation batch_6a09ef7271e081908a1cd70297376ae3 completed May 17, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_6a09f00ec300819082ee644a512a9cdf completed May 17, 2026, 4:42 p.m.
Created at: April 16, 2026, 6:28 p.m.