Triple

T11003118
Position Surface form Disambiguated ID Type / Status
Subject Sequence to Sequence Learning with Neural Networks E260048 entity
Predicate publishedIn P309 FINISHED
Object Advances in Neural Information Processing Systems E96742 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: Advances in Neural Information Processing Systems | Statement: [Sequence to Sequence Learning with Neural Networks, publishedIn, Advances in Neural Information Processing Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Advances in Neural Information Processing Systems
Context triple: [Sequence to Sequence Learning with Neural Networks, publishedIn, Advances in Neural Information Processing Systems]
  • A. NeurIPS chosen
    NeurIPS is a premier international conference focused on advances in machine learning, artificial intelligence, and computational neuroscience.
  • B. NIPS
    NIPS is the acronym for the Northern Ireland Prison Service, the government agency responsible for managing prisons and overseeing the custody and rehabilitation of offenders in Northern Ireland.
  • C. ICML
    ICML (International Conference on Machine Learning) is one of the premier global academic conferences focused on research in machine learning and related fields.
  • D. IEEE Transactions on Neural Networks and Learning Systems
    IEEE Transactions on Neural Networks and Learning Systems is a leading peer-reviewed scientific journal focusing on the theory, design, and applications of neural networks and machine learning.
  • E. Neural Computation
    Neural Computation is a peer-reviewed scientific journal focusing on theoretical and computational aspects of neural systems, machine learning, and artificial intelligence.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797546f448190946ee6442d657dc5 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3453d181081908cb58a957f4d1295 completed April 18, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:25 p.m.