Triple

T10700026
Position Surface form Disambiguated ID Type / Status
Subject Western Ohio E252247 entity
Predicate containsCity P294 FINISHED
Object Lebanon, Ohio E566227 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: Lebanon, Ohio | Statement: [Western Ohio, containsCity, Lebanon, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lebanon, Ohio
Context triple: [Western Ohio, containsCity, Lebanon, Ohio]
  • A. Lebanon, Ohio chosen
    Lebanon, Ohio is a historic small city in Warren County known for its preserved 19th-century downtown, antique shops, and role as a regional cultural and commercial center between Cincinnati and Dayton.
  • B. Leetonia, Ohio
    Leetonia, Ohio is a small village in northeastern Ohio known historically for its coal mining and iron industry roots.
  • C. 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.
  • D. Whitehouse, Ohio
    Whitehouse, Ohio is a small village in northwest Ohio known for its suburban-rural character and proximity to the city of Toledo.
  • E. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8abd7c81909c274aa1699a3695 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4416ecd748190b15f7496e1ce7728 completed April 19, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:12 p.m.