Triple

T17611752
Position Surface form Disambiguated ID Type / Status
Subject Widukind E428979 entity
Predicate baptismLocation P13158 FINISHED
Object Attigny
Attigny is a historic commune in northeastern France known as a Carolingian royal residence and site of important early medieval events.
 E1280380 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: Attigny | Statement: [Widukind, baptismLocation, Attigny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Attigny
Context triple: [Widukind, baptismLocation, Attigny]
  • A. Watigny
    Watigny is a commune in northern France, likely situated in a hilly or elevated area that includes Mont Watigny.
  • B. Formigny
    Formigny is a commune in northwestern France best known as the site of a decisive 1450 battle in the closing phase of the Hundred Years’ War.
  • C. Châtillon
    Châtillon is a suburban commune in the southwestern outskirts of Paris, France, known for its residential character and integration into the Greater Paris metropolitan area.
  • D. Châtillon
    Châtillon is a commune in eastern France known for its local heritage and its twinning partnership with the Swiss town of Delémont.
  • E. Montdidier
    Montdidier is a small historic town in northern France, located in the Somme department of the Hauts-de-France region.
  • 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: Attigny
Triple: [Widukind, baptismLocation, Attigny]
Generated description
Attigny is a historic commune in northeastern France known as a Carolingian royal residence and site of important early medieval events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Attigny
Target entity description: Attigny is a historic commune in northeastern France known as a Carolingian royal residence and site of important early medieval events.
  • A. Watigny
    Watigny is a commune in northern France, likely situated in a hilly or elevated area that includes Mont Watigny.
  • B. Formigny
    Formigny is a commune in northwestern France best known as the site of a decisive 1450 battle in the closing phase of the Hundred Years’ War.
  • C. Châtillon
    Châtillon is a suburban commune in the southwestern outskirts of Paris, France, known for its residential character and integration into the Greater Paris metropolitan area.
  • D. Châtillon
    Châtillon is a commune in eastern France known for its local heritage and its twinning partnership with the Swiss town of Delémont.
  • E. Montdidier
    Montdidier is a small historic town in northern France, located in the Somme department of the Hauts-de-France region.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d2dfa688190a0b9b396bb6133cc completed April 19, 2026, 5:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02164953c08190acd125c8e4c42976 completed May 11, 2026, 5:47 p.m.
NEDg Description generation batch_6a0217311cd4819082c011b9b6758fc2 completed May 11, 2026, 5:51 p.m.
NED2 Entity disambiguation (via description) batch_6a02183df9b48190ada384396946e4a3 completed May 11, 2026, 5:56 p.m.
Created at: April 10, 2026, 5:51 a.m.