Triple

T13865559
Position Surface form Disambiguated ID Type / Status
Subject Concord, Georgia E333315 entity
Predicate hasName P744 FINISHED
Object Concord
Concord is a small town in Pike County, Georgia, known for its rural character and tight-knit community.
E1076969 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: Concord | Statement: [Concord, Georgia, hasName, Concord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concord
Context triple: [Concord, Georgia, hasName, Concord]
  • A. Concord
    Concord is a suburban neighbourhood within the city of Vaughan in Ontario, Canada, known for its mix of industrial, commercial, and residential areas.
  • 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 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.
  • D. 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.
  • E. Concord
    Concord is a residential and commercial district within the town of Washington in Tyne and Wear, England.
  • 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: Concord
Triple: [Concord, Georgia, hasName, Concord]
Generated description
Concord is a small town in Pike County, Georgia, known for its rural character and tight-knit community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Concord
Target entity description: Concord is a small town in Pike County, Georgia, known for its rural character and tight-knit community.
  • A. Concord
    Concord is a growing suburban city in North Carolina that forms part of the greater Charlotte metropolitan area.
  • B. 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.
  • 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 a suburb in Sydney, Australia, known for its residential character, parks, and proximity to the Parramatta River.
  • E. Concord
    Concord is a residential and commercial district within the town of Washington in Tyne and Wear, England.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c419d481909230e8879b6dab5c completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbc31c38e481909a86cda6c913fb8e completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fc7e2e49508190a6a3211c9008d053 completed May 7, 2026, 11:57 a.m.
NED2 Entity disambiguation (via description) batch_69fc7f56979c8190a549079a4ea5d516 completed May 7, 2026, 12:02 p.m.
Created at: April 9, 2026, 10:14 p.m.