Triple

T10817806
Position Surface form Disambiguated ID Type / Status
Subject Grand Boulevard, Chicago E255277 entity
Predicate hasMajorStreet P30026 FINISHED
Object 47th Street E890751 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: 47th Street | Statement: [Grand Boulevard, Chicago, hasMajorStreet, 47th Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 47th Street
Context triple: [Grand Boulevard, Chicago, hasMajorStreet, 47th Street]
  • A. 47th Street chosen
    47th Street is a major east–west thoroughfare on Chicago’s South Side, known for connecting diverse neighborhoods and serving as an important commercial and transit corridor.
  • B. 45th Street
    45th Street is a local New York City Subway station in Brooklyn serving the BMT Fourth Avenue Line.
  • C. 57th Street
    57th Street is a major east–west thoroughfare in Midtown Manhattan known for its luxury shopping, high-end residences, and prominent commercial buildings.
  • D. 36th Street
    36th Street is a New York City Subway station in Brooklyn that serves the BMT Fourth Avenue Line.
  • E. 86th Street
    86th Street is a major local subway station on Manhattan’s Upper East Side serving the Lexington Avenue Line.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7344866f88190be4addb7c8020fce completed April 9, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23b7578688190975c087d28808be5 completed April 17, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:18 p.m.