Triple

T21998787
Position Surface form Disambiguated ID Type / Status
Subject Directorate of Enforcement (India) E543271 entity
Predicate abbreviation P43 FINISHED
Object ED — 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: ED | Statement: [Directorate of Enforcement (India), abbreviation, ED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ED
Context triple: [Directorate of Enforcement (India), abbreviation, ED]
  • A. ED
    ED is the standard abbreviation for the Eredivisie, the top professional football league in the Netherlands.
  • B. ED
    ED is the standard abbreviation for the IEEE Executive Director, the chief administrative officer responsible for overseeing the operations and strategic implementation of IEEE’s programs and initiatives.
  • C. ED
    ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
  • D. ED
    ED is a classic line-based text editor commonly used in Unix-like operating systems, known for its minimal interface and suitability for scripting and low-resource environments.
  • E. ED
    ED is the official station code for Ede-Wageningen railway station in the Netherlands.
  • 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: ED
Target entity description: ED is India’s central law enforcement and economic intelligence agency responsible for enforcing economic and financial laws, including anti-money laundering and foreign exchange regulations.
  • A. ED
    ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
  • B. ED
    ED is a classic line-based text editor commonly used in Unix-like operating systems, known for its minimal interface and suitability for scripting and low-resource environments.
  • C. ED
    ED is the standard abbreviation for the Eredivisie, the top professional football league in the Netherlands.
  • D. ED
    ED is the official station code for Ede-Wageningen railway station in the Netherlands.
  • E. ED
    ED is the standard abbreviation for the IEEE Executive Director, the chief administrative officer responsible for overseeing the operations and strategic implementation of IEEE’s programs and initiatives.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12768c0088190b0c8d5cd9b7bf710 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.