Triple

T5695118
Position Surface form Disambiguated ID Type / Status
Subject Lenox Avenue E125518 entity
Predicate hasNameComponent P24447 FINISHED
Object Lenox E116240 NE FINISHED

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: Lenox | Statement: [Lenox Avenue, hasNameComponent, Lenox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenox
Context triple: [Lenox Avenue, hasNameComponent, Lenox]
  • A. Lenox chosen
    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 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02409e70081909e47f2bd4a50fa12 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a528a348190a7f6fd4cc3b76c92 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:45 p.m.