Triple

T1034904
Position Surface form Disambiguated ID Type / Status
Subject Rochester E22338 entity
Predicate nicknamed P744 FINISHED
Object The Flower City E22338 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: The Flower City | Statement: [Rochester, nicknamed, The Flower City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Flower City
Context triple: [Rochester, nicknamed, The Flower City]
  • A. Flower City
    Flower City is a nickname for Springfield, the capital city of Illinois in the United States.
  • B. Canton
    Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
  • C. Rochester chosen
    Rochester is a major city in western New York State known historically for its role in industry, photography, and social reform movements.
  • D. Rochester
    Rochester is a historic cathedral city and former market town in Kent, England, known for its Norman castle, Romanesque cathedral, and strong associations with the novelist Charles Dickens.
  • E. Kingston, New York
    Kingston, New York is a historic city in the Hudson Valley that served as the first capital of New York State and is known for its well-preserved colonial architecture and waterfront district.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b814c16c8190ac4d20feecdadbae completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc15a6c81909a71bf17b5cd4019 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.