Triple

T4182858
Position Surface form Disambiguated ID Type / Status
Subject Perelman Building E88233 entity
Predicate neighborhood P988 FINISHED
Object Fairmount E54865 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 | Statement: [Perelman Building, neighborhood, Fairmount]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fairmount
Context triple: [Perelman Building, neighborhood, Fairmount]
  • A. Fairmount chosen
    Fairmount is a residential neighborhood in Philadelphia, Pennsylvania, known for its historic architecture, cultural institutions, and proximity to the city’s Museum District.
  • B. Fairmount
    Fairmount is a residential neighborhood area within the Hyde Park section of Boston, Massachusetts.
  • C. Tacony
    Tacony is a historic residential neighborhood in Northeast Philadelphia known for its rowhouses, industrial heritage, and location along the Delaware River.
  • D. Fairmount hill
    Fairmount Hill is a notable elevated area that lends its name to the surrounding Fairmount neighborhood.
  • E. Fairmount Park
    Fairmount Park is a public recreational park located in Riverside, California, known for its scenic lake, walking paths, and historic design.
  • 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_69aed9477e8c81908bcb862d2db55b1d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0307a0b481909c7287402a8c78c4 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589fbcc5881908f245bb377082dcc completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:45 p.m.