Triple

T22229769
Position Surface form Disambiguated ID Type / Status
Subject Newark metropolitan area E549434 entity
Predicate containsCity P294 FINISHED
Object Linden
Linden is a city in Union County, New Jersey, known for its industrial facilities and proximity to Newark and New York City.
E1257975 NE FINISHED

How this triple was built (4 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: Linden | Statement: [Newark metropolitan area, containsCity, Linden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linden
Context triple: [Newark metropolitan area, containsCity, Linden]
  • A. Linden
    Linden is a small village in the Dutch province of North Brabant, known for its rural character and location near the Maas River.
  • B. Linden
    Linden is a Chicago Transit Authority rapid transit station that serves as the northern terminal of the Purple Line in Wilmette, Illinois.
  • C. Linden
    Linden is a small city in Marengo County, Alabama, serving as the county seat and known for its rural Southern character.
  • D. Linden
    Linden is a major town in central Guyana known for its bauxite mining industry and location along the Demerara River.
  • E. Linden
    Linden is a surname most prominently associated with Trevor Linden, a former professional ice hockey player and longtime captain of the Vancouver Canucks.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Linden
Triple: [Newark metropolitan area, containsCity, Linden]
Generated description
Linden is a city in Union County, New Jersey, known for its industrial facilities and proximity to Newark and New York City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Linden
Target entity description: Linden is a city in Union County, New Jersey, known for its industrial facilities and proximity to Newark and New York City.
  • A. Linden chosen
    Linden is a city in Union County, New Jersey, known for its industrial facilities and proximity to major transportation routes near Newark and New York City.
  • B. Linden
    Linden is a small city in Marengo County, Alabama, serving as the county seat and known for its rural Southern character.
  • C. Linden
    Linden is a small rural community located along Nova Scotia’s North Shore in Cumberland County, Canada.
  • D. Linden
    Linden is a residential district within the city of Gloucester in Gloucestershire, England.
  • E. Linden
    Linden is a small village in the City of Blue Mountains in New South Wales, Australia, known for its bushland setting and proximity to scenic mountain lookouts and walking tracks.
  • F. None of above.

Provenance (5 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf173308190a3d21bfc59b39728 completed April 28, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae75b2ac819083289b84fd3b6dd7 completed May 18, 2026, 6:15 a.m.
NEDg Description generation batch_6a0aaf211d8481908e7c23e35e920e87 completed May 18, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab01b5cd48190bf67942798e4db45 completed May 18, 2026, 6:22 a.m.
Created at: April 16, 2026, 8:37 p.m.