Triple

T21946078
Position Surface form Disambiguated ID Type / Status
Subject William Poole E541936 entity
Predicate placeOfActivity P1527 FINISHED
Object Five Points, Manhattan 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, Manhattan | Statement: [William Poole, placeOfActivity, Five Points, Manhattan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Five Points, Manhattan
Context triple: [William Poole, placeOfActivity, Five Points, Manhattan]
  • A. Five Points, Manhattan chosen
    Five Points, Manhattan was a notorious 19th-century New York City neighborhood known for its extreme poverty, crime, and dense immigrant population.
  • B. Five Points
    Five Points is a historic, bohemian neighborhood in Jacksonville, Florida, known for its eclectic mix of shops, restaurants, nightlife, and arts venues.
  • C. Five Points
    Five Points is a historic Denver neighborhood known as a longtime center of African American culture and jazz.
  • D. Five Points
    Five Points is the name of several small unincorporated communities and crossroads locations in the U.S. state of Michigan.
  • E. Hudson Square
    Hudson Square is a neighborhood on Manhattan’s west side known for its former industrial buildings, media and tech offices, and proximity to the Hudson River.
  • 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.