Triple

T3189382
Position Surface form Disambiguated ID Type / Status
Subject Oldsmobile Bravada E66780 entity
Predicate assemblyLocation P40 FINISHED
Object Moraine, Ohio
Moraine, Ohio is a small industrial city near Dayton known for its history of automobile manufacturing and assembly plants.
 E445427 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: Moraine, Ohio | Statement: [Oldsmobile Bravada, assemblyLocation, Moraine, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moraine, Ohio
Context triple: [Oldsmobile Bravada, assemblyLocation, Moraine, Ohio]
  • A. Obetz, Ohio
    Obetz, Ohio is a small village in central Ohio known for its proximity to Columbus and its mix of residential neighborhoods, industrial facilities, and logistics centers.
  • B. Wakeman, Ohio
    Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
  • C. Lockbourne, Ohio
    Lockbourne, Ohio is a small village in central Ohio that is part of the Columbus metropolitan area.
  • D. Huron, Ohio
    Huron, Ohio is a small city on the southern shore of Lake Erie known for its waterfront, marinas, and proximity to regional attractions like Cedar Point.
  • E. Hudson, Ohio
    Hudson, Ohio is a small city in northeastern Ohio known for its historic New England–style downtown and as a center of education and culture in the region.
  • 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: Moraine, Ohio
Triple: [Oldsmobile Bravada, assemblyLocation, Moraine, Ohio]
Generated description
Moraine, Ohio is a small industrial city near Dayton known for its history of automobile manufacturing and assembly plants.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moraine, Ohio
Target entity description: Moraine, Ohio is a small industrial city near Dayton known for its history of automobile manufacturing and assembly plants.
  • A. Obetz, Ohio
    Obetz, Ohio is a small village in central Ohio known for its proximity to Columbus and its mix of residential neighborhoods, industrial facilities, and logistics centers.
  • B. Wakeman, Ohio
    Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
  • C. Lockbourne, Ohio
    Lockbourne, Ohio is a small village in central Ohio that is part of the Columbus metropolitan area.
  • D. Huron, Ohio
    Huron, Ohio is a small city on the southern shore of Lake Erie known for its waterfront, marinas, and proximity to regional attractions like Cedar Point.
  • E. Hudson, Ohio
    Hudson, Ohio is a small city in northeastern Ohio known for its historic New England–style downtown and as a center of education and culture in the region.
  • F. None of above. chosen

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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e67e948190afbd9cc6a3ade415 completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69badb12b7488190bcd0be87b6278876 completed March 18, 2026, 5:04 p.m.
NEDg Description generation batch_69bb150a7ddc819099c60c3a55fd501a completed March 18, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69bb161656208190bbb99a48d6929fa2 completed March 18, 2026, 9:16 p.m.
Created at: March 8, 2026, 3:06 p.m.