Triple

T10880477
Position Surface form Disambiguated ID Type / Status
Subject Runway 4R (Newark) E256905 entity
Predicate hasRunwayNumber P8866 FINISHED
Object 4R
4R is a designated runway number used at airports, indicating a right-hand runway aligned roughly with a 040-degree magnetic heading.
 E890405 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: 4R | Statement: [Runway 4R (Newark), hasRunwayNumber, 4R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 4R
Context triple: [Runway 4R (Newark), hasRunwayNumber, 4R]
  • A. R4
    R4 is a commuter rail line in the Rodalies de Catalunya network serving key suburban and regional routes in Catalonia, Spain.
  • B. R4
    R4 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • C. R-4
    The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
  • D. 5R4
    5R4 is the FAA location identifier for Foley Municipal Airport, a public-use airport serving Foley, Alabama.
  • E. R40
    R40 is a regional commuter rail line in Catalonia, Spain, operating as part of the Rodalies de Catalunya network.
  • 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: 4R
Triple: [Runway 4R (Newark), hasRunwayNumber, 4R]
Generated description
4R is a designated runway number used at airports, indicating a right-hand runway aligned roughly with a 040-degree magnetic heading.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 4R
Target entity description: 4R is a designated runway number used at airports, indicating a right-hand runway aligned roughly with a 040-degree magnetic heading.
  • A. R4
    R4 is a commuter rail line in the Rodalies de Catalunya network serving key suburban and regional routes in Catalonia, Spain.
  • B. R4
    R4 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
  • C. R-4
    The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
  • D. 5R4
    5R4 is the FAA location identifier for Foley Municipal Airport, a public-use airport serving Foley, Alabama.
  • E. R40
    R40 is a regional commuter rail line in Catalonia, Spain, operating as part of the Rodalies de Catalunya network.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751b031a88190b1182dfc1f520264 completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7e2322c8190a55605237ae6ce95 completed April 15, 2026, 8:41 p.m.
NEDg Description generation batch_69e002709d38819099c4402d30824612 completed April 15, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_69e005873ba48190b8c24c77611562fa completed April 15, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:21 p.m.