Triple

T13096632
Position Surface form Disambiguated ID Type / Status
Subject Temple of Concord and Victory E310606 entity
Predicate hasSubject P450 FINISHED
Object Concord
Concord is the Roman goddess personifying harmony and agreement, especially in social and political relationships.
E1040028 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: [Temple of Concord and Victory, hasSubject, Concord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concord
Context triple: [Temple of Concord and Victory, hasSubject, Concord]
  • A. 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.
  • 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 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 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: [Temple of Concord and Victory, hasSubject, Concord]
Generated description
Concord is the Roman goddess personifying harmony and agreement, especially in social and political relationships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Concord
Target entity description: Concord is the Roman goddess personifying harmony and agreement, especially in social and political relationships.
  • A. 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.
  • 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 residential neighborhood on Staten Island in New York City, known for its proximity to major roadways and access to the Staten Island Expressway.
  • E. Concord
    Concord is a growing suburban city in North Carolina that forms part of the greater Charlotte metropolitan area.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9814e88a0819088418c792ce7aa57 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7396e6cf881908b4cc3836501ed08 completed May 3, 2026, 12:02 p.m.
NEDg Description generation batch_69f73a7ca9048190948c1bceede2a09c completed May 3, 2026, 12:07 p.m.
NED2 Entity disambiguation (via description) batch_69f73abc1c9481909d509eb02bafd909 completed May 3, 2026, 12:08 p.m.
Created at: April 9, 2026, 9:04 p.m.