Triple

T1652579
Position Surface form Disambiguated ID Type / Status
Subject Park Slope E35725 entity
Predicate borderedBy P224 FINISHED
Object Prospect Heights E39903 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: Prospect Heights | Statement: [Park Slope, borderedBy, Prospect Heights]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prospect Heights
Context triple: [Park Slope, borderedBy, Prospect Heights]
  • A. Prospect Heights chosen
    Prospect Heights is a residential Brooklyn neighborhood in New York City known for its historic brownstones, cultural diversity, and proximity to attractions like the Brooklyn Museum and Prospect Park.
  • B. Clifton Heights
    Clifton Heights is a small borough in Delaware County, Pennsylvania, located just west of Philadelphia.
  • C. Forest Hill
    Forest Hill is an affluent residential neighbourhood in midtown Toronto, Ontario, known for its upscale homes and prestigious schools.
  • D. Glenmont
    Glenmont is the historic Victorian-era estate in Llewellyn Park, New Jersey, that served as the home of inventor Thomas Edison and his family.
  • E. Whitley Heights
    Whitley Heights is a historic hillside neighborhood in Hollywood, Los Angeles, known for its early 20th-century Mediterranean-style homes and ties to the film industry.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a88cb108190a836b972f600c257 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf42b39c819092f89cde635b20ec completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:29 p.m.