Triple

T7364483
Position Surface form Disambiguated ID Type / Status
Subject St. Benedict School E169833 entity
Predicate city P40 FINISHED
Object Blue Island E31390 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: Blue Island | Statement: [St. Benedict School, city, Blue Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Island
Context triple: [St. Benedict School, city, Blue Island]
  • A. Blue Island, Illinois chosen
    Blue Island, Illinois is a historic suburban city on the south side of the Chicago metropolitan area known for its industrial heritage and diverse residential neighborhoods.
  • B. Lake Forest
    Lake Forest is a suburban city in Orange County, California, known for its residential communities, parks, and proximity to major Southern California employment centers.
  • C. Poplar Beach
    Poplar Beach is a coastal beach and popular recreation spot in Half Moon Bay, California, known for its scenic ocean views, walking trails, and beach access.
  • D. South Shore, Chicago
    South Shore, Chicago is a South Side lakefront neighborhood known for its historic architecture, cultural diversity, and proximity to Lake Michigan and Jackson Park.
  • E. Berwyn
    Berwyn is a residential neighborhood within College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f161d76081909da6d698fb3d8bb1 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856a22b208190821bcbf21a074bb8 completed March 28, 2026, 10:30 p.m.
Created at: March 27, 2026, 3:06 p.m.