Triple

T12560241
Position Surface form Disambiguated ID Type / Status
Subject East End of Pittsburgh E295322 entity
Predicate hasNeighborhood P40 FINISHED
Object Regent Square E396162 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: Regent Square | Statement: [East End of Pittsburgh, hasNeighborhood, Regent Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regent Square
Context triple: [East End of Pittsburgh, hasNeighborhood, Regent Square]
  • A. Regent Square chosen
    Regent Square is a leafy, historic Pittsburgh neighborhood known for its walkable streets, classic homes, and proximity to Frick Park.
  • B. Lismore Square
    Lismore Square is a local shopping centre serving the retail and service needs of the community in Lismore, Ireland.
  • C. Georgetown Square
    Georgetown Square is the historic downtown district of Georgetown, Texas, known for its preserved Victorian-era architecture, local shops, restaurants, and community events.
  • D. Havelock Square
    Havelock Square is an area in Singapore known for housing key legal institutions, including the Family Justice Courts.
  • E. Waverley Square
    Waverley Square is a commercial and transit-oriented neighborhood in Belmont, Massachusetts, known for its local shops and MBTA commuter rail station.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954933e7c819083471c627ce55ff1 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558b307c81909ec5407af013de1d completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 11:48 p.m.