Triple

T7318910
Position Surface form Disambiguated ID Type / Status
Subject Riverside, California E168486 entity
Predicate hasPark P105 FINISHED
Object Fairmount Park E132835 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: Fairmount Park | Statement: [Riverside, California, hasPark, Fairmount Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fairmount Park
Context triple: [Riverside, California, hasPark, Fairmount Park]
  • A. Fairmount Park chosen
    Fairmount Park is a public recreational park located in Riverside, California, known for its scenic lake, walking paths, and historic design.
  • B. Fairmount Park
    Fairmount Park is a large historic urban park in Philadelphia known for its extensive green spaces, trails, and cultural institutions along the Schuylkill River.
  • C. Pennypack Park
    Pennypack Park is a large urban park in Philadelphia known for its wooded trails, creek, and diverse recreational and natural areas.
  • D. Fairmount
    Fairmount is a residential neighborhood in Philadelphia, Pennsylvania, known for its historic architecture, cultural institutions, and proximity to the city’s Museum District.
  • E. Fairmount
    Fairmount is a residential neighborhood area within the Hyde Park section of Boston, Massachusetts.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef18b7bc81908a9ee405d684f304 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eefcd7148190818d581cbde9aff1 completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:02 p.m.