Triple

T11696121
Position Surface form Disambiguated ID Type / Status
Subject Madison County E277998 entity
Predicate hasTown P847 FINISHED
Object Lenox
Lenox is a small town located in Madison County in the state of New York, United States.
E941145 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: Lenox | Statement: [Madison County, hasTown, Lenox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenox
Context triple: [Madison County, hasTown, Lenox]
  • A. Lenox
    Lenox is a small, historic town in western Massachusetts known for its cultural attractions, including Tanglewood, the summer home of the Boston Symphony Orchestra.
  • B. Concord
    Concord is a historic New England town in eastern Massachusetts known for its pivotal role in the American Revolutionary War and its association with prominent 19th-century literary figures.
  • C. Concord
    Concord is a suburb in Sydney, Australia, known for its residential character, parks, and proximity to the Parramatta River.
  • D. Concord
    Concord is a widely grown American grape variety known for its deep purple color and use in sweet wines, juices, and jellies.
  • E. Concord
    Concord is a suburban city in California’s East Bay region known as a residential and commercial hub within the greater San Francisco Bay Area.
  • 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: Lenox
Triple: [Madison County, hasTown, Lenox]
Generated description
Lenox is a small town located in Madison County in the state of New York, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lenox
Target entity description: Lenox is a small town located in Madison County in the state of New York, United States.
  • A. Lenox
    Lenox is a small, historic town in western Massachusetts known for its cultural attractions, including Tanglewood, the summer home of the Boston Symphony Orchestra.
  • B. Concord
    Concord is a suburban neighbourhood within the city of Vaughan in Ontario, Canada, known for its mix of industrial, commercial, and residential areas.
  • C. Concord
    Concord is a historic New England town in eastern Massachusetts known for its pivotal role in the American Revolutionary War and its association with prominent 19th-century literary figures.
  • D. Concord
    Concord is the capital city of the U.S. state of New Hampshire, known for its historic role in American politics and its location along the Merrimack River.
  • E. Concord
    Concord is a prominent American independent music company and record label group known for its extensive catalog spanning jazz, rock, pop, and theatrical soundtracks.
  • 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_69ef1471cba88190a7abdcbf4f579ea9 completed April 27, 2026, 7:46 a.m.
NEDg Description generation batch_69ef511f8f688190b2806d4e8ab16511 completed April 27, 2026, 12:05 p.m.
NED2 Entity disambiguation (via description) batch_69ef537efcc48190afffaa50f28940d8 completed April 27, 2026, 12:15 p.m.
Created at: April 8, 2026, 9:40 p.m.