Triple

T11696115
Position Surface form Disambiguated ID Type / Status
Subject Madison County E277998 entity
Predicate hasTown P847 FINISHED
Object Madison
Madison is a small town that serves as one of the local communities within Madison County.
 E941585 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: Madison | Statement: [Madison County, hasTown, Madison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Madison
Context triple: [Madison County, hasTown, Madison]
  • A. Madison
    Madison is the codename for a later-generation Itanium processor variant developed by Intel for high-end server and enterprise computing.
  • B. Madison
    Madison is a suburban city in northern Alabama known for its proximity to Huntsville and its strong schools and residential communities.
  • C. Madison
    Madison is a common English surname and given name, historically associated with U.S. President James Madison and now widely used as a first name, especially for girls.
  • D. Madison
    Madison is a coastal town in south-central Connecticut known for its beaches, historic New England charm, and popular Hammonasset Beach State Park.
  • E. Madison
    Madison is the capital city of Wisconsin, known for its lakes, vibrant university community, and progressive culture.
  • 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: Madison
Triple: [Madison County, hasTown, Madison]
Generated description
Madison is a small town that serves as one of the local communities within Madison County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Madison
Target entity description: Madison is a small town that serves as one of the local communities within Madison County.
  • A. Madison
    Madison is a common English surname and given name, historically associated with U.S. President James Madison and now widely used as a first name, especially for girls.
  • B. Madison
    Madison is a suburban city in northern Alabama known for its proximity to Huntsville and its strong schools and residential communities.
  • C. Madison
    Madison is a coastal town in south-central Connecticut known for its beaches, historic New England charm, and popular Hammonasset Beach State Park.
  • D. Madison
    Madison is the capital city of Wisconsin, known for its lakes, vibrant university community, and progressive culture.
  • E. Madison
    Madison is the codename for a later-generation Itanium processor variant developed by Intel for high-end server and enterprise computing.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47cef60819088b7cc3a3a711e4c completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef833084988190b5004c93f68dc628 completed April 27, 2026, 3:39 p.m.
NEDg Description generation batch_69ef9b673120819097b542bb9a8f8bdb completed April 27, 2026, 5:22 p.m.
NED2 Entity disambiguation (via description) batch_69efd683366881909dd9621e7c57d0be completed April 27, 2026, 9:34 p.m.
Created at: April 8, 2026, 9:40 p.m.