Triple

T2248111
Position Surface form Disambiguated ID Type / Status
Subject Air Route Traffic Control Center E49552 entity
Predicate alsoKnownAs P39 FINISHED
Object Center
Center is the common shorthand term used in aviation to refer to an Air Route Traffic Control Center, which manages en route air traffic over large regions.
 E248074 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: Center | Statement: [Air Route Traffic Control Center, alsoKnownAs, Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Center
Context triple: [Air Route Traffic Control Center, alsoKnownAs, Center]
  • A. Centre
    Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
  • B. Central
    Central is a subway station on the Massachusetts Bay Transportation Authority (MBTA) system located in Cambridge, Massachusetts.
  • C. Central
    Central is a former British ITV regional television company that served the Midlands region and produced a wide range of popular UK programming.
  • D. Mitte
    Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
  • E. Central Front
    Central Front was a major Soviet operational formation on the Eastern Front during World War II, notable for its role in key battles such as the Battle of Kursk.
  • 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: Center
Triple: [Air Route Traffic Control Center, alsoKnownAs, Center]
Generated description
Center is the common shorthand term used in aviation to refer to an Air Route Traffic Control Center, which manages en route air traffic over large regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Center
Target entity description: Center is the common shorthand term used in aviation to refer to an Air Route Traffic Control Center, which manages en route air traffic over large regions.
  • A. Centre
    Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
  • B. Central
    Central is a subway station on the Massachusetts Bay Transportation Authority (MBTA) system located in Cambridge, Massachusetts.
  • C. Central
    Central is a former British ITV regional television company that served the Midlands region and produced a wide range of popular UK programming.
  • D. Mitte
    Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
  • E. Central Front
    Central Front was a major Soviet operational formation on the Eastern Front during World War II, notable for its role in key battles such as the Battle of Kursk.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0ed5c38819080b45ea398fb59f2 completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1719c481909ec3ff03d2a6f3bd completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6bcfd2c481908f69df77f40655e2 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c4d9c04819086e3091bbbf16099 completed March 9, 2026, 6:44 a.m.
Created at: March 4, 2026, 7:47 p.m.