Triple

T5519659
Position Surface form Disambiguated ID Type / Status
Subject McKeesport E144772 entity
Predicate adjacentTo P224 FINISHED
Object Duquesne
Duquesne is a small industrial city in Allegheny County, Pennsylvania, historically known for its steel production along the Monongahela River.
 E531656 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: Duquesne | Statement: [McKeesport, adjacentTo, Duquesne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Duquesne
Context triple: [McKeesport, adjacentTo, Duquesne]
  • A. Duquesne
    Duquesne is a French noble family name historically associated with military and colonial leadership, notably in 18th-century New France.
  • B. Latrobe
    Latrobe is a surname most notably associated with Benjamin Henry Latrobe, a pioneering British-American architect often called the “father of American architecture.”
  • C. Latrobe
    Latrobe is a small city in Westmoreland County, Pennsylvania, known as the hometown of golfer Arnold Palmer and the birthplace of the banana split.
  • D. Allegheny
    Allegheny was the original name of the Major League Baseball franchise now known as the Pittsburgh Pirates.
  • E. Monongahela, Pennsylvania
    Monongahela, Pennsylvania is a small city along the Monongahela River in southwestern Pennsylvania known for its historic downtown and riverfront community.
  • 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: Duquesne
Triple: [McKeesport, adjacentTo, Duquesne]
Generated description
Duquesne is a small industrial city in Allegheny County, Pennsylvania, historically known for its steel production along the Monongahela River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Duquesne
Target entity description: Duquesne is a small industrial city in Allegheny County, Pennsylvania, historically known for its steel production along the Monongahela River.
  • A. Duquesne
    Duquesne is a French noble family name historically associated with military and colonial leadership, notably in 18th-century New France.
  • B. Latrobe
    Latrobe is a surname most notably associated with Benjamin Henry Latrobe, a pioneering British-American architect often called the “father of American architecture.”
  • C. Latrobe
    Latrobe is a small city in Westmoreland County, Pennsylvania, known as the hometown of golfer Arnold Palmer and the birthplace of the banana split.
  • D. Allegheny
    Allegheny was the original name of the Major League Baseball franchise now known as the Pittsburgh Pirates.
  • E. Monongahela, Pennsylvania
    Monongahela, Pennsylvania is a small city along the Monongahela River in southwestern Pennsylvania known for its historic downtown and riverfront community.
  • F. None of above. chosen

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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f6eb604819092e9b2207dc741a9 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027e57ed88190b2ff3245226851d1 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c03c495bf88190884ab03b9e5540f0 completed March 22, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69c03cd550748190ab9718c510d2f0ca completed March 22, 2026, 7:02 p.m.
Created at: March 22, 2026, 3:33 p.m.