Triple

T11064253
Position Surface form Disambiguated ID Type / Status
Subject Iowa Wesleyan College E261581 entity
Predicate city P40 FINISHED
Object Mount Pleasant E635879 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: Mount Pleasant | Statement: [Iowa Wesleyan College, city, Mount Pleasant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Pleasant
Context triple: [Iowa Wesleyan College, city, Mount Pleasant]
  • A. Mount Pleasant
    Mount Pleasant is a vibrant, historically working-class neighbourhood in Vancouver known for its arts scene, independent shops, and diverse community.
  • B. Mount Pleasant
    Mount Pleasant is a historic, culturally diverse residential neighborhood in Washington, D.C., known for its tree-lined streets, early 20th-century row houses, and vibrant local commerce.
  • C. Mount Pleasant
    Mount Pleasant is a suburban town in Westchester County, New York, known for its residential communities and proximity to major reservoirs and parklands.
  • D. Mount Pleasant chosen
    Mount Pleasant is a small city in southeastern Iowa known as the county seat of Henry County and home to Iowa Wesleyan University.
  • E. Mount Pleasant
    Mount Pleasant is a prominent hill and scenic overlook in Rising Park, known for its panoramic views of the surrounding area.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798ed07f88190bf501d9f63386ada completed April 9, 2026, 12:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8977f98819082dec025e92782da completed April 18, 2026, 6:08 p.m.
Created at: April 8, 2026, 9:26 p.m.