Triple

T13577789
Position Surface form Disambiguated ID Type / Status
Subject North Ealing station E324331 entity
Predicate hasRailCode P18202 FINISHED
Object NEA E1048268 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: NEA | Statement: [North Ealing station, hasRailCode, NEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NEA
Context triple: [North Ealing station, hasRailCode, NEA]
  • A. NEA
    NEA is the commonly used acronym for the National Emergencies Act, a U.S. federal law governing the declaration and regulation of national emergencies by the President.
  • B. NEA
    NEA is the commonly used abbreviation for the U.S. State Department’s Bureau of Near Eastern Affairs, which manages American diplomatic relations and policy in the Near East region.
  • C. NEA
    NEA is the vehicle registration code for the district of Neustadt an der Aisch-Bad Windsheim in Middle Franconia, Bavaria, Germany.
  • D. NEA chosen
    NEA is the National Rail station code assigned to North Ealing station in London.
  • E. NEA
    NEA is the abbreviation for the Norwegian Environment Agency, the government body responsible for implementing environmental policy and managing nature conservation in Norway.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb02de1988190af2d473973ecd529 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8bda0c81909afd4b9ef9605cd3 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:48 p.m.