Triple

T19572899
Position Surface form Disambiguated ID Type / Status
Subject Shadyside Campus E489767 entity
Predicate neighborhood P988 FINISHED
Object Shadyside NE NERFINISHED

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: Shadyside | Statement: [Shadyside Campus, neighborhood, Shadyside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shadyside
Context triple: [Shadyside Campus, neighborhood, Shadyside]
  • A. Shadyside (Pittsburgh) chosen
    Shadyside is a historic, upscale Pittsburgh neighborhood known for its tree-lined residential streets, boutique shopping districts, and vibrant dining and nightlife.
  • B. Wilkinsburg
    Wilkinsburg is a borough in Allegheny County, Pennsylvania, known as an inner-ring suburb directly east of Pittsburgh.
  • C. Shawmont
    Shawmont is a residential neighborhood in the northwestern section of Philadelphia, Pennsylvania, known for its proximity to the Schuylkill River and access to nearby parks and trails.
  • D. Millcreek
    Millcreek is a suburban city in central Utah that functions as part of the Salt Lake City metropolitan area.
  • E. Rowtown
    Rowtown is a residential area in Surrey, England, situated near the town of Addlestone.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402228488190b5649d4bbd34d019 completed April 20, 2026, 3:02 p.m.
Created at: April 10, 2026, 1:42 p.m.