Triple

T12881177
Position Surface form Disambiguated ID Type / Status
Subject EDF E308097 entity
Predicate hasFAAIdentifier P420 FINISHED
Object EDF E308097 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: EDF | Statement: [EDF, hasFAAIdentifier, EDF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EDF
Context triple: [EDF, hasFAAIdentifier, EDF]
  • A. EDF
    EDF (Électricité de France) is France’s main state-owned electric utility company and one of the world’s largest producers and suppliers of electricity, particularly known for its extensive nuclear power operations.
  • B. EDF
    EDF is the acronym commonly used to refer to the Estonian Defence Forces, the military organization responsible for Estonia’s national defense.
  • C. EDF chosen
    EDF is the IATA airport code for Joint Base Elmendorf–Richardson, a major U.S. military installation and airfield near Anchorage, Alaska.
  • D. EDF
    EDF is the European Union’s funding instrument designed to support collaborative research and development of defence technologies and capabilities among member states.
  • E. EDF
    EDF is a leading U.S.-based environmental advocacy organization known for its science-driven, market-based approaches to addressing climate change, pollution, and ecosystem protection.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fc1e488190a0c48039f6213e62 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bbb735c8190a08683a6183e60c4 completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:39 p.m.