Triple

T18748184
Position Surface form Disambiguated ID Type / Status
Subject Wansjaliya Junction E458456 entity
Predicate hasStationCode P1289 FINISHED
Object WSJ 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: WSJ | Statement: [Wansjaliya Junction, hasStationCode, WSJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WSJ
Context triple: [Wansjaliya Junction, hasStationCode, WSJ]
  • A. The Wall Street Journal
    The Wall Street Journal is a leading American business-focused daily newspaper known for its influential financial reporting and analysis.
  • B. BusinessWeek
    BusinessWeek is a major American business magazine known for its coverage of global markets, companies, and economic trends.
  • C. Bloomberg News
    Bloomberg News is a global financial and business news organization known for its real-time market coverage, data-driven reporting, and multimedia journalism.
  • D. The Economist
    The Economist is an international weekly news and business publication known for its in-depth analysis and commentary on global politics, economics, and current affairs.
  • E. Financial Times
    The Financial Times is a leading international daily newspaper based in London, renowned for its global business, economic, and financial news coverage.
  • 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: WSJ
Target entity description: WSJ is the Indian Railways station code for Wansjaliya Junction railway station in Gujarat, India.
  • A. The Wall Street Journal
    The Wall Street Journal is a leading American business-focused daily newspaper known for its influential financial reporting and analysis.
  • B. BusinessWeek
    BusinessWeek is a major American business magazine known for its coverage of global markets, companies, and economic trends.
  • C. Bloomberg News
    Bloomberg News is a global financial and business news organization known for its real-time market coverage, data-driven reporting, and multimedia journalism.
  • D. The Economist
    The Economist is an international weekly news and business publication known for its in-depth analysis and commentary on global politics, economics, and current affairs.
  • E. Financial Times
    The Financial Times is a leading international daily newspaper based in London, renowned for its global business, economic, and financial news coverage.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579e9903c81908180c46012bd0948 completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:51 a.m.