Triple

T19565575
Position Surface form Disambiguated ID Type / Status
Subject Steißlingen E489572 entity
Predicate hasTwinTown P919 FINISHED
Object Pédernec
Pédernec is a small commune in the Côtes-d'Armor department of Brittany in northwestern France, known for its rural character and historic Breton heritage.
 E1404357 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: Pédernec | Statement: [Steißlingen, hasTwinTown, Pédernec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pédernec
Context triple: [Steißlingen, hasTwinTown, Pédernec]
  • A. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • B. Bédarieux
    Bédarieux is a commune in southern France’s Hérault department, known for its location in the Orb valley at the foothills of the Massif Central.
  • C. Nantouillet
    Nantouillet is a small rural commune in the Seine-et-Marne department in the Île-de-France region of north-central France.
  • D. Casseneuil
    Casseneuil is a small commune in southwestern France, located in the Lot-et-Garonne department in the Nouvelle-Aquitaine region.
  • E. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • 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: Pédernec
Triple: [Steißlingen, hasTwinTown, Pédernec]
Generated description
Pédernec is a small commune in the Côtes-d'Armor department of Brittany in northwestern France, known for its rural character and historic Breton heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pédernec
Target entity description: Pédernec is a small commune in the Côtes-d'Armor department of Brittany in northwestern France, known for its rural character and historic Breton heritage.
  • A. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • B. Bédarieux
    Bédarieux is a commune in southern France’s Hérault department, known for its location in the Orb valley at the foothills of the Massif Central.
  • C. Nantouillet
    Nantouillet is a small rural commune in the Seine-et-Marne department in the Île-de-France region of north-central France.
  • D. Casseneuil
    Casseneuil is a small commune in southwestern France, located in the Lot-et-Garonne department in the Nouvelle-Aquitaine region.
  • E. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f777cf081909312b46ac09bce7c completed April 20, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdb0fdb081908e803fb558158374 completed May 16, 2026, 5:16 a.m.
NEDg Description generation batch_6a07fe4573a48190919a59e466b34e35 completed May 16, 2026, 5:19 a.m.
NED2 Entity disambiguation (via description) batch_6a07fede18a08190a7a7a698d7598023 completed May 16, 2026, 5:21 a.m.
Created at: April 10, 2026, 1:42 p.m.