Triple

T2832095
Position Surface form Disambiguated ID Type / Status
Subject New Jersey Plan E62261 entity
Predicate didNotPropose P8829 FINISHED
Object proportional representation in legislature 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: proportional representation in legislature | Statement: [New Jersey Plan, didNotPropose, proportional representation in legislature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: didNotPropose
Context triple: [New Jersey Plan, didNotPropose, proportional representation in legislature]
  • A. didNotHold chosen
    Indicates that an expected event, condition, or relationship failed to occur or be valid.
  • B. didNotOverrule
    Indicates that one entity, typically a higher authority or court, chose not to overturn, reverse, or invalidate the decision or ruling made by another entity.
  • C. notAwardedFor
    Indicates that a particular award, prize, or honor was explicitly not given in recognition of a specified work, achievement, or entity.
  • D. notRatifiedBy
    Indicates that a proposed agreement, treaty, or decision has not received formal approval or confirmation from the specified entity.
  • E. refusedMarriageProposalFrom
    Indicates that one entity declined or rejected a marriage proposal made by another entity.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdebe95188190bf65fb4cd88e2ec5 completed March 7, 2026, 8:15 a.m.
PD Predicate disambiguation batch_69abdd0acab881909e8c25cbef83678c completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:01 p.m.