Triple

T23042430
Position Surface form Disambiguated ID Type / Status
Subject Monument Square E573773 entity
Predicate maintainedBy P86 FINISHED
Object Town of Concord NE NERFINISHED

How this triple was built (2 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: Town of Concord | Statement: [Monument Square, maintainedBy, Town of Concord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Concord
Context triple: [Monument Square, maintainedBy, Town of Concord]
  • A. Town of Concord chosen
    The Town of Concord is a historic New England community in Massachusetts renowned for its pivotal role in the American Revolutionary War and its association with prominent Transcendentalist writers.
  • B. City of Concord
    The City of Concord is a municipality in Contra Costa County, California, known as a major suburban community in the San Francisco Bay Area.
  • C. City of Concord
    The City of Concord is a municipal government in North Carolina responsible for providing local services, infrastructure, and administration for its residents.
  • D. city of Concord
    The city of Concord is the capital of New Hampshire and a regional center for government, history, and culture in the state.
  • E. Concord
    Concord is a suburban neighbourhood within the city of Vaughan in Ontario, Canada, known for its mix of industrial, commercial, and residential areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18516417081908bf747b20de23a75 completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:54 p.m.