Triple

T5031905
Position Surface form Disambiguated ID Type / Status
Subject Springfield Museums E113325 entity
Predicate locatedIn P40 FINISHED
Object Downtown Springfield E394837 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: Downtown Springfield | Statement: [Springfield Museums, locatedIn, Downtown Springfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downtown Springfield
Context triple: [Springfield Museums, locatedIn, Downtown Springfield]
  • A. Springfield Town Center
    Springfield Town Center is a major enclosed shopping mall and retail destination serving the Springfield, Virginia area.
  • B. Springfield
    Springfield is a populous suburban community in Northern Virginia known for its major transportation junctions, shopping centers, and proximity to Washington, D.C.
  • C. Springfield
    Springfield is a small rural town located in the state of Kansas in the United States.
  • D. Springfield
    Springfield is a town located in Dane County, Wisconsin, known for its rural character and proximity to the Madison metropolitan area.
  • E. Springfield chosen
    Springfield is the capital city of the U.S. state of Illinois and a major center of its government and political activity.
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73b4d1708190aa1fa63104555f8a completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c6df1b88190ad61c87a28312957 completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:36 p.m.