Triple

T20047897
Position Surface form Disambiguated ID Type / Status
Subject Northolt Park station E497610 entity
Predicate hasStationCode P1289 FINISHED
Object NLP — NE NERFINISHED

How this triple was built (3 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: NLP | Statement: [Northolt Park station, hasStationCode, NLP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NLP
Context triple: [Northolt Park station, hasStationCode, NLP]
  • A. NLU
    NLU is the IATA airport code for Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
  • B. Foundations of Statistical Natural Language Processing
    Foundations of Statistical Natural Language Processing is a seminal textbook that introduces the core probabilistic and machine learning methods used in modern natural language processing.
  • C. Natural Language Processing Specialization
    The Natural Language Processing Specialization is an online course series that teaches core NLP concepts and modern deep learning techniques for processing and understanding human language.
  • D. Natural Language framework
    The Natural Language framework is an Apple developer framework that provides tools for natural language processing tasks such as tokenization, tagging, language identification, and text classification on Apple platforms.
  • E. NLG
    NLG was the ISO 4217 currency code for the Dutch guilder, the former national currency of the Netherlands before the adoption of the euro.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NLP
Target entity description: NLP is the National Rail station code for Northolt Park railway station in northwest London, England.
  • A. NLU
    NLU is the IATA airport code for Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
  • B. Foundations of Statistical Natural Language Processing
    Foundations of Statistical Natural Language Processing is a seminal textbook that introduces the core probabilistic and machine learning methods used in modern natural language processing.
  • C. Natural Language Processing Specialization
    The Natural Language Processing Specialization is an online course series that teaches core NLP concepts and modern deep learning techniques for processing and understanding human language.
  • D. Natural Language framework
    The Natural Language framework is an Apple developer framework that provides tools for natural language processing tasks such as tokenization, tagging, language identification, and text classification on Apple platforms.
  • E. NLG
    NLG was the ISO 4217 currency code for the Dutch guilder, the former national currency of the Netherlands before the adoption of the euro.
  • F. None of above. chosen

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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632c085081908710cbc939ac9971 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:37 p.m.