Triple

T1164593
Position Surface form Disambiguated ID Type / Status
Subject Upper Manhattan E24571 entity
Predicate borderedBy P224 FINISHED
Object Bronx (borough) E8102 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: Bronx (borough) | Statement: [Upper Manhattan, borderedBy, Bronx (borough)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bronx (borough)
Context triple: [Upper Manhattan, borderedBy, Bronx (borough)]
  • A. The Bronx chosen
    The Bronx is one of the five boroughs of New York City, known as the birthplace of hip-hop and home to Yankee Stadium and the Bronx Zoo.
  • B. Brooklyn
    Brooklyn is a populous and culturally diverse borough of New York City known for its distinct neighborhoods, arts scene, and iconic landmarks like the Brooklyn Bridge.
  • C. Brooklyn
    Brooklyn is a small inner-ring suburb of Cleveland located in Cuyahoga County, Ohio.
  • D. Brooklyn
    Brooklyn is a residential suburb within the Milnerton area of Cape Town, South Africa.
  • E. East Bronx
    East Bronx is a largely residential region of the Bronx in New York City, characterized by diverse neighborhoods, low- to mid-rise housing, and access to multiple subway and bus lines.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bccb3b388190938c68dee90b3f19 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c342f8f4819095cdf17553c02268 completed March 14, 2026, 2:09 a.m.
Created at: March 1, 2026, 7:45 p.m.