Triple

T22678853
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Loches E560423 entity
Predicate contains P35 FINISHED
Object Saint-Aignan
Saint-Aignan is a small French commune in central France, known for its historic architecture and proximity to the popular Beauval Zoo.
 E1549053 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: Saint-Aignan | Statement: [arrondissement of Loches, contains, Saint-Aignan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saint-Aignan
Context triple: [arrondissement of Loches, contains, Saint-Aignan]
  • A. Mont-Saint-Aignan
    Mont-Saint-Aignan is a commune in northern France, near Rouen in the Normandy region, known as the birthplace of legendary cyclist Jacques Anquetil.
  • B. Ainay-le-Château
    Ainay-le-Château is a small commune in central France, known as the birthplace of Nobel Prize–winning microbiologist André Lwoff.
  • C. Aubigny-sur-Nère
    Aubigny-sur-Nère is a historic commune in the Cher department of central France, known for its strong Scottish connections and well-preserved medieval architecture.
  • D. La Motte-d’Aigues
    La Motte-d’Aigues is a small commune in southeastern France’s Vaucluse department, known for its Provençal rural setting near the Luberon massif.
  • E. Saint-Arnoult
    Saint-Arnoult is a French commune located in the Loir-et-Cher department in central France.
  • 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: Saint-Aignan
Triple: [arrondissement of Loches, contains, Saint-Aignan]
Generated description
Saint-Aignan is a small French commune in central France, known for its historic architecture and proximity to the popular Beauval Zoo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saint-Aignan
Target entity description: Saint-Aignan is a small French commune in central France, known for its historic architecture and proximity to the popular Beauval Zoo.
  • A. Mont-Saint-Aignan
    Mont-Saint-Aignan is a commune in northern France, near Rouen in the Normandy region, known as the birthplace of legendary cyclist Jacques Anquetil.
  • B. Ainay-le-Château
    Ainay-le-Château is a small commune in central France, known as the birthplace of Nobel Prize–winning microbiologist André Lwoff.
  • C. Aubigny-sur-Nère
    Aubigny-sur-Nère is a historic commune in the Cher department of central France, known for its strong Scottish connections and well-preserved medieval architecture.
  • D. La Motte-d’Aigues
    La Motte-d’Aigues is a small commune in southeastern France’s Vaucluse department, known for its Provençal rural setting near the Luberon massif.
  • E. Saint-Arnoult
    Saint-Arnoult is a French commune located in the Loir-et-Cher department in central France.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1785e4e7481909f1ebd6d8dbd6585 completed April 29, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73f115cc819085e82dfa9f32ffa8 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b752363a48190af3733c8ca995c25 completed May 18, 2026, 8:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0b7601fda88190bbfa04e7eb240f65 completed May 18, 2026, 8:26 p.m.
Created at: April 17, 2026, 3:11 p.m.