Triple

T19422501
Position Surface form Disambiguated ID Type / Status
Subject Garfield Avenue station E485891 entity
Predicate hasCity P316 FINISHED
Object Jersey City E16498 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: Jersey City | Statement: [Garfield Avenue station, hasCity, Jersey City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jersey City
Context triple: [Garfield Avenue station, hasCity, Jersey City]
  • A. Jersey City chosen
    Jersey City is a major New Jersey city across the Hudson River from Lower Manhattan, known for its waterfront skyline, diverse communities, and role as a key financial and transportation hub in the New York metropolitan area.
  • B. Hoboken
    Hoboken is a small New Jersey city across the Hudson River from Manhattan, known for its waterfront views, historic brownstones, and vibrant dining and nightlife scene.
  • C. Hoboken
    Hoboken is a district of the Belgian city of Antwerp, known for its residential character and industrial areas along the Scheldt River.
  • D. Newark
    Newark is a city in northern Delaware known for being home to the University of Delaware and its vibrant college-town community.
  • E. Newark
    Newark is a major city in northern New Jersey known for its historic significance, diverse communities, and role as a cultural and transportation hub in the New York metropolitan area.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e632159d7081909d004544ec5992c0 completed April 20, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07470db894819096438b9a1316068d completed May 15, 2026, 4:17 p.m.
Created at: April 10, 2026, 1:37 p.m.