Triple

T23004374
Position Surface form Disambiguated ID Type / Status
Subject Toledo Strip E572720 entity
Predicate resolutionConsequence P60507 FINISHED
Object Toledo Strip awarded to Ohio LITERAL 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: Toledo Strip awarded to Ohio | Statement: [Toledo Strip, resolutionConsequence, Toledo Strip awarded to Ohio]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: resolutionConsequence
Context triple: [Toledo Strip, resolutionConsequence, Toledo Strip awarded to Ohio]
  • A. resolution
    Indicates the act of formally deciding, settling, or expressing a determined stance on an issue, often through an official decision or statement.
  • B. resolutionLeadsTo chosen
    Indicates that achieving a particular resolution or decision directly brings about or causes a subsequent outcome or state.
  • C. resolutionIdea
    Indicates a proposed method, plan, or approach intended to resolve or address a particular issue, conflict, or problem.
  • D. resolutionType
    Indicates the specific manner or category by which an issue, event, or conflict is resolved or brought to a conclusion.
  • E. resolutionEvent
    Indicates an event or action through which a previously existing issue, conflict, or problem is brought to a conclusion or resolved.
  • F. None of above.

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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183556cd08190b18780680bc4f23e completed April 29, 2026, 4:04 a.m.
PD Predicate disambiguation batch_69ef3b9cd5488190bcd23183179f48cd completed April 27, 2026, 10:34 a.m.
Created at: April 17, 2026, 3:51 p.m.