Triple

T13577757
Position Surface form Disambiguated ID Type / Status
Subject North Ealing station E324331 entity
Predicate stationCode P1289 FINISHED
Object NEA
NEA is the National Rail station code assigned to North Ealing station in London.
 E1048268 NE FINISHED

How this triple was built (4 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, stationCode, NEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NEA
Context triple: [North Ealing station, stationCode, NEA]
  • A. NEA
    NEA is the vehicle registration code for the district of Neustadt an der Aisch-Bad Windsheim in Middle Franconia, Bavaria, Germany.
  • B. NEA
    NEA is the abbreviation for the Norwegian Environment Agency, the government body responsible for implementing environmental policy and managing nature conservation in Norway.
  • C. 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.
  • D. 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.
  • E. NEA Research Labs
    NEA Research Labs are research centers funded by the National Endowment for the Arts that investigate the impacts and value of the arts in areas such as health, education, and community development.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NEA
Triple: [North Ealing station, stationCode, NEA]
Generated description
NEA is the National Rail station code assigned to North Ealing station in London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NEA
Target entity description: NEA is the National Rail station code assigned to North Ealing station in London.
  • 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
    NEA is the abbreviation for the Norwegian Environment Agency, the government body responsible for implementing environmental policy and managing nature conservation in Norway.
  • E. NEA Research Labs
    NEA Research Labs are research centers funded by the National Endowment for the Arts that investigate the impacts and value of the arts in areas such as health, education, and community development.
  • F. None of above. chosen

Provenance (5 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_69f76bbbe3c08190a359dfe7c3c8f15c completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77641e5308190a75bcffeb9bfd7b4 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7791add908190af69b23a54eb7560 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:48 p.m.