Triple

T10498354
Position Surface form Disambiguated ID Type / Status
Subject Bergen Community College E247601 entity
Predicate city P40 FINISHED
Object Paramus E849114 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: Paramus | Statement: [Bergen Community College, city, Paramus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paramus
Context triple: [Bergen Community College, city, Paramus]
  • A. Paramus, New Jersey chosen
    Paramus, New Jersey is a suburban borough in Bergen County best known as a major retail hub with numerous shopping malls and commercial centers.
  • B. Hackensack
    Hackensack were a Lenape Native American group from the region of present-day northern New Jersey, known for their involvement in early 17th-century conflicts with Dutch colonists.
  • C. Montclair
    Montclair is a residential, hillside neighborhood in Oakland, California, known for its wooded canyons, winding streets, and small village-style commercial district.
  • D. Montclair
    Montclair is a city in southwestern San Bernardino County, California, located in the Pomona Valley region of the Greater Los Angeles area.
  • E. Secaucus, New Jersey
    Secaucus, New Jersey is a suburban town in the New York metropolitan area known for its retail outlets, transportation hubs, and proximity to Manhattan.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098e45ec8190a02b981a06786909 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6f1e29c8190b073c3293cf68cb2 completed May 3, 2026, 10:06 p.m.
Created at: April 6, 2026, 12:25 p.m.