Triple

T22621175
Position Surface form Disambiguated ID Type / Status
Subject Orleans, Indiana E558282 entity
Predicate hasName P744 FINISHED
Object Orleans
Orleans is a small town in southern Indiana, United States, known for its historic downtown and annual Dogwood Festival.
E1545806 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: Orleans | Statement: [Orleans, Indiana, hasName, Orleans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orleans
Context triple: [Orleans, Indiana, hasName, Orleans]
  • A. Orleans
    Orleans is a white grape variety used in European wine production, historically cultivated in regions such as Germany and Central Europe.
  • B. Orleans
    Orleans is an American soft rock band best known for 1970s hits like "Still the One" and "Dance with Me."
  • C. Orleans
    Orleans is a coastal town on outer Cape Cod in Massachusetts known for its beaches, fishing, and role as a popular summer vacation destination.
  • D. Orléans
    Orléans is a federal electoral district in the eastern part of Ottawa, Ontario, represented in the House of Commons of Canada.
  • E. Orléans
    Orléans is a historic city in north-central France, renowned for its association with Joan of Arc and its location on the Loire River.
  • 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: Orleans
Triple: [Orleans, Indiana, hasName, Orleans]
Generated description
Orleans is a small town in southern Indiana, United States, known for its historic downtown and annual Dogwood Festival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Orleans
Target entity description: Orleans is a small town in southern Indiana, United States, known for its historic downtown and annual Dogwood Festival.
  • A. Orleans
    Orleans is a coastal town on outer Cape Cod in Massachusetts known for its beaches, fishing, and role as a popular summer vacation destination.
  • B. Orleans
    Orleans is a white grape variety used in European wine production, historically cultivated in regions such as Germany and Central Europe.
  • C. Orleans
    Orleans is an American soft rock band best known for 1970s hits like "Still the One" and "Dance with Me."
  • D. Orléans
    Orléans is a federal electoral district in the eastern part of Ottawa, Ontario, represented in the House of Commons of Canada.
  • E. Orléans
    Orléans is a historic city in north-central France, renowned for its association with Joan of Arc and its location on the Loire River.
  • 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e39959481909e0ae67379435f95 completed April 29, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4e037bf8819087bc71af425e794b completed May 18, 2026, 5:36 p.m.
NEDg Description generation batch_6a0b4f5425d88190b986e5fd657beca7 completed May 18, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_6a0b502d7148819081b635e9ef3be1d1 completed May 18, 2026, 5:45 p.m.
Created at: April 17, 2026, 3 p.m.