Triple

T21946057
Position Surface form Disambiguated ID Type / Status
Subject William Cutting E541935 entity
Predicate associatedWith P37 FINISHED
Object Five Points neighborhood 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: Five Points neighborhood | Statement: [William Cutting, associatedWith, Five Points neighborhood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Five Points neighborhood
Context triple: [William Cutting, associatedWith, Five Points neighborhood]
  • A. Five Points area chosen
    The Five Points area is a historically Black neighborhood and commercial district in East Knoxville, Tennessee, known for its community institutions, redevelopment efforts, and cultural significance.
  • B. Little Five Points
    Little Five Points is a bohemian commercial district in Atlanta known for its alternative culture, eclectic shops, music venues, and vibrant street art.
  • C. Five Points
    Five Points is a historic, bohemian neighborhood in Jacksonville, Florida, known for its eclectic mix of shops, restaurants, nightlife, and arts venues.
  • D. Five Points
    Five Points is a historic Denver neighborhood known as a longtime center of African American culture and jazz.
  • E. Five Points
    Five Points is the name of several small unincorporated communities and crossroads locations in the U.S. state of Michigan.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12427c2b48190949c41bd3be2d9f3 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:57 p.m.