Triple

T11052919
Position Surface form Disambiguated ID Type / Status
Subject Hamburg, Pennsylvania E261301 entity
Predicate partOf P40 FINISHED
Object Reading metropolitan area E158096 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: Reading metropolitan area | Statement: [Hamburg, Pennsylvania, partOf, Reading metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Reading metropolitan area
Context triple: [Hamburg, Pennsylvania, partOf, Reading metropolitan area]
  • A. Reading metropolitan area chosen
    The Reading metropolitan area is a U.S. metropolitan region in southeastern Pennsylvania centered on the city of Reading and its surrounding communities.
  • B. Reading urban area
    The Reading urban area is a major conurbation in Berkshire, England, centered on the town of Reading and its surrounding suburbs and settlements.
  • C. Tema Metropolitan Area
    The Tema Metropolitan Area is a major urban and industrial hub in Ghana centered on the port city of Tema, known for its planned layout, manufacturing zones, and maritime trade activities.
  • D. MARC Geographic Areas
    MARC Geographic Areas is a standardized code list used in library cataloging to represent geographic locations in MARC records.
  • E. U.S. metropolitan areas
    U.S. metropolitan areas are densely populated urban regions in the United States that encompass a central city and its surrounding economically and socially integrated communities.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7986c0df88190b29d71db5538450a completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa1c2d9c8190959e28ccef4e0f6d completed April 18, 2026, 3:58 p.m.
Created at: April 8, 2026, 9:26 p.m.