Triple

T6624563
Position Surface form Disambiguated ID Type / Status
Subject Brackenheim E149761 entity
Predicate hasTwinTown P919 FINISHED
Object Pélissanne
Pélissanne is a small commune in the Bouches-du-Rhône department of southern France, known for its Provençal character and historic village center.
 E608529 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: Pélissanne | Statement: [Brackenheim, hasTwinTown, Pélissanne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pélissanne
Context triple: [Brackenheim, hasTwinTown, Pélissanne]
  • A. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • B. Ussel
    Ussel is a small commune in central France known as a local administrative and service center in the Corrèze department of the Nouvelle-Aquitaine region.
  • C. Boulzane
    Boulzane is a river in southern France that serves as a tributary of the Agly.
  • D. Pontarlier
    Pontarlier is a historic town in eastern France near the Swiss border, known for its role in the absinthe industry and its location in the Jura Mountains.
  • E. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • 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: Pélissanne
Triple: [Brackenheim, hasTwinTown, Pélissanne]
Generated description
Pélissanne is a small commune in the Bouches-du-Rhône department of southern France, known for its Provençal character and historic village center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pélissanne
Target entity description: Pélissanne is a small commune in the Bouches-du-Rhône department of southern France, known for its Provençal character and historic village center.
  • A. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • B. Ussel
    Ussel is a small commune in central France known as a local administrative and service center in the Corrèze department of the Nouvelle-Aquitaine region.
  • C. Boulzane
    Boulzane is a river in southern France that serves as a tributary of the Agly.
  • D. Pontarlier
    Pontarlier is a historic town in eastern France near the Swiss border, known for its role in the absinthe industry and its location in the Jura Mountains.
  • E. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7fc054819099a2e58cefd8fed7 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eee8740881908b4fafb12db6b7f3 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f09ffdd481909418ae33d1683486 completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f159cbf08190a22d7488584b4580 completed March 27, 2026, 9:06 p.m.
Created at: March 27, 2026, 1:58 p.m.