Triple

T2825470
Position Surface form Disambiguated ID Type / Status
Subject Richmond, Indiana E54908 entity
Predicate hasNickName P39 FINISHED
Object Rose City
Rose City is the nickname of Richmond, Indiana, reflecting its historical association with extensive rose cultivation and nurseries.
E298709 NE FINISHED

How this triple was built (4 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: Rose City | Statement: [Richmond, Indiana, hasNickName, Rose City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rose City
Context triple: [Richmond, Indiana, hasNickName, Rose City]
  • A. Rose City
    Rose City is the nickname of Welland, Ontario, a Canadian city historically known for its abundance of roses and floral beauty.
  • B. Portland
    Portland is the largest city in Oregon, known for its vibrant arts scene, progressive culture, and lush green spaces in the Pacific Northwest.
  • C. Portland
    Portland is the largest city in the U.S. state of Maine, known for its historic waterfront, vibrant arts scene, and coastal New England charm.
  • D. Portland
    Portland is a small historic town in the Central Tablelands region of New South Wales, Australia, known for its early cement works and heritage streetscapes.
  • E. Portland
    Portland is a tied island and civil parish on the Jurassic Coast in Dorset, England, known for its historic quarries, lighthouse, and role as a former naval base.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rose City
Triple: [Richmond, Indiana, hasNickName, Rose City]
Generated description
Rose City is the nickname of Richmond, Indiana, reflecting its historical association with extensive rose cultivation and nurseries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rose City
Target entity description: Rose City is the nickname of Richmond, Indiana, reflecting its historical association with extensive rose cultivation and nurseries.
  • A. Rose City chosen
    Rose City is the nickname of Welland, Ontario, a Canadian city historically known for its abundance of roses and floral beauty.
  • B. Portland
    Portland is the largest city in Oregon, known for its vibrant arts scene, progressive culture, and lush green spaces in the Pacific Northwest.
  • C. Portland
    Portland is the largest city in the U.S. state of Maine, known for its historic waterfront, vibrant arts scene, and coastal New England charm.
  • D. Portland
    Portland is a tied island and civil parish on the Jurassic Coast in Dorset, England, known for its historic quarries, lighthouse, and role as a former naval base.
  • E. Portland
    Portland is a small historic town in the Central Tablelands region of New South Wales, Australia, known for its early cement works and heritage streetscapes.
  • F. None of above.

Provenance (5 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde925e688190bb390d3182f8c4f0 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4dae21cf08190913e7b764b3acb20 completed March 14, 2026, 3:49 a.m.
NEDg Description generation batch_69b4dc2c274c8190a7c8fa419186e188 completed March 14, 2026, 3:55 a.m.
NED2 Entity disambiguation (via description) batch_69b4e0065b008190b2ad78546e563b4d completed March 14, 2026, 4:11 a.m.
Created at: March 6, 2026, 9:59 p.m.