Triple

T1346264
Position Surface form Disambiguated ID Type / Status
Subject Fort Lauderdale–Hollywood International Airport E28577 entity
Predicate hasRunway P105 FINISHED
Object 10R/28L
10R/28L is a primary east–west runway at Fort Lauderdale–Hollywood International Airport used for commercial air traffic operations.
E154247 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: 10R/28L | Statement: [Fort Lauderdale–Hollywood International Airport, hasRunway, 10R/28L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 10R/28L
Context triple: [Fort Lauderdale–Hollywood International Airport, hasRunway, 10R/28L]
  • A. 13R/31L
    13R/31L is a major runway at Dallas/Fort Worth International Airport used for handling high volumes of commercial air traffic.
  • B. Z/28
    The Z/28 is a high-performance, track-focused variant of the Chevrolet Camaro known for its enhanced handling, braking, and power.
  • C. NA28
    NA28 is the 28th edition of the Nestle-Aland Novum Testamentum Graece, a critically established scholarly edition of the Greek New Testament widely used in academic and theological studies.
  • D. RJ
    RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
  • E. N84
    N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
  • 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: 10R/28L
Triple: [Fort Lauderdale–Hollywood International Airport, hasRunway, 10R/28L]
Generated description
10R/28L is a primary east–west runway at Fort Lauderdale–Hollywood International Airport used for commercial air traffic operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 10R/28L
Target entity description: 10R/28L is a primary east–west runway at Fort Lauderdale–Hollywood International Airport used for commercial air traffic operations.
  • A. 13R/31L
    13R/31L is a major runway at Dallas/Fort Worth International Airport used for handling high volumes of commercial air traffic.
  • B. Z/28
    The Z/28 is a high-performance, track-focused variant of the Chevrolet Camaro known for its enhanced handling, braking, and power.
  • C. NA28
    NA28 is the 28th edition of the Nestle-Aland Novum Testamentum Graece, a critically established scholarly edition of the Greek New Testament widely used in academic and theological studies.
  • D. RJ
    RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
  • E. N84
    N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23e84188190b0395c57dd45b62a completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc639201c81908ed9c9ac37cd358f completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc71a3e808190aecbb57a64f39b6b completed March 8, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69acc88e4ec08190945b366524b83088 completed March 8, 2026, 12:53 a.m.
Created at: March 1, 2026, 7:56 p.m.