Triple

T16373718
Position Surface form Disambiguated ID Type / Status
Subject Online Computer Library Center E397627 entity
Predicate headquartersLocation P62 FINISHED
Object Dublin, Ohio NE NERFINISHED

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: Dublin, Ohio | Statement: [Online Computer Library Center, headquartersLocation, Dublin, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dublin, Ohio
Context triple: [Online Computer Library Center, headquartersLocation, Dublin, Ohio]
  • A. Dublin, Ohio chosen
    Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
  • B. 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.
  • C. Havana, Ohio
    Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
  • D. Jacksonville, Ohio
    Jacksonville, Ohio is a small village located in Athens County in southeastern Ohio, historically associated with coal mining and rural Appalachian culture.
  • E. Richmond, Ohio
    Richmond, Ohio is a small village in eastern Ohio known for its rural character and location within Jefferson County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319d559788190bd96c45ff0900fe6 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:08 a.m.