Triple

T5927213
Position Surface form Disambiguated ID Type / Status
Subject Georgensgmünd E131841 entity
Predicate hasTwinTown P919 FINISHED
Object Crosne
Crosne is a small suburban commune in the Île-de-France region of northern France, located southeast of Paris.
 E692443 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: Crosne | Statement: [Georgensgmünd, hasTwinTown, Crosne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Crosne
Context triple: [Georgensgmünd, hasTwinTown, Crosne]
  • A. Vaucresson
    Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
  • B. Dourdan
    Dourdan is a commune in the Essonne department in the southern suburbs of Paris, France, known for its historic medieval castle and role as a terminus on the RER C suburban rail line.
  • C. Étampes
    Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
  • D. Gonesse
    Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
  • E. Bar-sur-Seine
    Bar-sur-Seine is a small commune in northeastern France known for its historic architecture and location within the Champagne-producing region of the Aube department.
  • 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: Crosne
Triple: [Georgensgmünd, hasTwinTown, Crosne]
Generated description
Crosne is a small suburban commune in the Île-de-France region of northern France, located southeast of Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Crosne
Target entity description: Crosne is a small suburban commune in the Île-de-France region of northern France, located southeast of Paris.
  • A. Vaucresson
    Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
  • B. Dourdan
    Dourdan is a commune in the Essonne department in the southern suburbs of Paris, France, known for its historic medieval castle and role as a terminus on the RER C suburban rail line.
  • C. Étampes
    Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
  • D. Gonesse
    Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
  • E. Bar-sur-Seine
    Bar-sur-Seine is a small commune in northeastern France known for its historic architecture and location within the Champagne-producing region of the Aube department.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0385592b48190a885efb9549d88c7 completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ca293158d4819091918490eec7eb5b completed March 30, 2026, 7:41 a.m.
NEDg Description generation batch_69ca2a1960bc81908f7ce7cf45bf08e2 completed March 30, 2026, 7:45 a.m.
NED2 Entity disambiguation (via description) batch_69ca2aae21688190bf04df7a43935420 completed March 30, 2026, 7:47 a.m.
Created at: March 22, 2026, 4 p.m.