Triple

T5600258
Position Surface form Disambiguated ID Type / Status
Subject Point Breeze E147100 entity
Predicate borderedBy P224 FINISHED
Object Shadyside E295331 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: Shadyside | Statement: [Point Breeze, borderedBy, Shadyside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shadyside
Context triple: [Point Breeze, borderedBy, 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. Millcreek
    Millcreek is a suburban city in central Utah that functions as part of the Salt Lake City metropolitan area.
  • D. Rowtown
    Rowtown is a residential area in Surrey, England, situated near the town of Addlestone.
  • E. Griffintown
    Griffintown is a historic, rapidly redeveloping former industrial neighborhood located just southwest of downtown Montreal, known for its mix of old factories, new condos, and proximity to the Lachine Canal.
  • 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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020d936dc8190a2e599f1df9fdd91 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02873b1dc8190b11a6c069f3e4f7e completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:38 p.m.