Triple

T11997506
Position Surface form Disambiguated ID Type / Status
Subject Dead Rabbits E285568 entity
Predicate activeIn P1560 FINISHED
Object Five Points, Manhattan E285569 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: Five Points, Manhattan | Statement: [Dead Rabbits, activeIn, Five Points, Manhattan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Five Points, Manhattan
Context triple: [Dead Rabbits, activeIn, 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. 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.
  • E. Cooper Square
    Cooper Square is a major intersection and public space in Manhattan’s East Village, known for its convergence of several streets and proximity to institutions like The Cooper Union.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c172788190b92042e9d10a48bf completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47281ea7c819081921bc125f8895f completed May 1, 2026, 9:29 a.m.
Created at: April 8, 2026, 9:46 p.m.