Triple

T3693373
Position Surface form Disambiguated ID Type / Status
Subject Rutgers Law Review E78394 entity
Predicate hasAbbreviation P43 FINISHED
Object Rutgers L. Rev. E78394 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: Rutgers L. Rev. | Statement: [Rutgers Law Review, hasAbbreviation, Rutgers L. Rev.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rutgers L. Rev.
Context triple: [Rutgers Law Review, hasAbbreviation, Rutgers L. Rev.]
  • A. Rutgers Law Review chosen
    Rutgers Law Review is a leading scholarly legal journal published by Rutgers Law School, featuring articles, essays, and notes on a wide range of contemporary legal issues.
  • B. Rutgers Business Law Review
    Rutgers Business Law Review is a scholarly journal focused on business and corporate law, published by Rutgers Law School.
  • C. Cardozo Law Review
    Cardozo Law Review is a leading student-edited legal journal known for publishing influential scholarship on a wide range of contemporary legal issues.
  • D. Columbia Law Review
    Columbia Law Review is a leading student-edited legal journal known for publishing influential scholarship on a wide range of legal and policy issues.
  • E. Duke Law Journal
    Duke Law Journal is a leading student-edited legal periodical published by Duke University School of Law, known for scholarly articles on a wide range of legal issues.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4e9e4748190aa178692ef27e3a6 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3d0f2d88190b31e8c336f1a1bf3 completed March 14, 2026, 2:11 a.m.
Created at: March 8, 2026, 3:26 p.m.