Triple

T17361980
Position Surface form Disambiguated ID Type / Status
Subject Association of Independent Schools in New England E422088 entity
Predicate alsoKnownAs P39 FINISHED
Object AISNE — NE ONDG

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: AISNE | Statement: [Association of Independent Schools in New England, alsoKnownAs, AISNE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AISNE
Context triple: [Association of Independent Schools in New England, alsoKnownAs, AISNE]
  • A. Aisne (department)
    Aisne is a department in the Hauts-de-France region of northern France, known for its World War I battlefields, rural landscapes, and historic towns such as Laon and Soissons.
  • B. Oise-Aisne
    Oise-Aisne is a region in northern France that was a major World War I battlefield, notably during the Aisne and Oise-Aisne offensives.
  • C. Aisne-Marne
    Aisne-Marne refers to a major World War I campaign and battlefield in France, notably associated with the Second Battle of the Marne.
  • D. Seine-et-Marne
    Seine-et-Marne is a largely rural department in north-central France east of Paris, known for its historic towns, agricultural landscapes, and attractions such as the Château de Fontainebleau and Disneyland Paris.
  • E. Gouy, Aisne
    Gouy is a commune in the Aisne department of northern France, notable as the area where the Scheldt River has its source.
  • 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: AISNE
Triple: [Association of Independent Schools in New England, alsoKnownAs, AISNE]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AISNE
Target entity description: AISNE is a regional organization that supports and accredits independent schools throughout New England.
  • A. Aisne (department)
    Aisne is a department in the Hauts-de-France region of northern France, known for its World War I battlefields, rural landscapes, and historic towns such as Laon and Soissons.
  • B. Oise-Aisne
    Oise-Aisne is a region in northern France that was a major World War I battlefield, notably during the Aisne and Oise-Aisne offensives.
  • C. Aisne-Marne
    Aisne-Marne refers to a major World War I campaign and battlefield in France, notably associated with the Second Battle of the Marne.
  • D. Seine-et-Marne
    Seine-et-Marne is a largely rural department in north-central France east of Paris, known for its historic towns, agricultural landscapes, and attractions such as the Château de Fontainebleau and Disneyland Paris.
  • E. Gouy, Aisne
    Gouy is a commune in the Aisne department of northern France, notable as the area where the Scheldt River has its source.
  • F. None of above. chosen

Provenance (4 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4d6de88190b816b93ff5778157 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195609d988190b7a70f8eabf75eaa completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01962ae4848190b2aad8e19bf6522f in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:44 a.m.