Triple

T10699983
Position Surface form Disambiguated ID Type / Status
Subject Western Ohio E252247 entity
Predicate containsCity P294 FINISHED
Object Fairborn, Ohio E195822 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: Fairborn, Ohio | Statement: [Western Ohio, containsCity, Fairborn, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fairborn, Ohio
Context triple: [Western Ohio, containsCity, Fairborn, Ohio]
  • A. Fairborn, Ohio chosen
    Fairborn, Ohio is a city in Greene County that forms part of the Dayton metropolitan area in southwestern Ohio.
  • B. Springfield, Ohio
    Springfield, Ohio is a mid-sized city in western Ohio known historically for manufacturing and as the seat of Clark County.
  • C. Dresden, Ohio
    Dresden, Ohio is a small village in Muskingum County known historically as the original home of the Longaberger Company and its handcrafted baskets.
  • D. Vandalia, Ohio
    Vandalia, Ohio is a suburban city in Montgomery County that serves as a key community in the Dayton metropolitan area of the Miami Valley region.
  • E. Geneva, Ohio
    Geneva, Ohio is a small city in northeastern Ohio best known as the birthplace of automobile pioneer Ransom E. Olds.
  • 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_69e42d448fac81909137b0a0ed9b976e completed April 19, 2026, 1:17 a.m.
Created at: April 8, 2026, 9:12 p.m.