Triple

T6300547
Position Surface form Disambiguated ID Type / Status
Subject Molokai Airport E141241 entity
Predicate hasRunway P105 FINISHED
Object Runway 5/23
Runway 5/23 is a primary paved runway at Molokai Airport in Hawaii, used for handling the airport’s main commercial and general aviation traffic.
 E663181 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: Runway 5/23 | Statement: [Molokai Airport, hasRunway, Runway 5/23]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Runway 5/23
Context triple: [Molokai Airport, hasRunway, Runway 5/23]
  • A. Runway 5R/23L
    Runway 5R/23L is a primary paved runway at Indianapolis International Airport used for commercial and cargo aircraft operations.
  • B. Runway 5R/23L
    Runway 5R/23L is a primary paved runway at Rickenbacker International Airport in Ohio, used for handling large commercial and cargo aircraft operations.
  • C. Runway 5R/23L
    Runway 5R/23L is a primary paved runway at Piedmont Triad International Airport in North Carolina, used for commercial and general aviation operations.
  • D. Runway 5L/23R
    Runway 5L/23R is a primary paved runway at McGhee Tyson Airport in Tennessee, used for commercial and general aviation operations.
  • E. Runway 17/35
    Runway 17/35 is a primary paved runway used for aircraft operations at Kauhava Air Base in Finland.
  • 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: Runway 5/23
Triple: [Molokai Airport, hasRunway, Runway 5/23]
Generated description
Runway 5/23 is a primary paved runway at Molokai Airport in Hawaii, used for handling the airport’s main commercial and general aviation traffic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Runway 5/23
Target entity description: Runway 5/23 is a primary paved runway at Molokai Airport in Hawaii, used for handling the airport’s main commercial and general aviation traffic.
  • A. Runway 5R/23L
    Runway 5R/23L is a primary paved runway at Indianapolis International Airport used for commercial and cargo aircraft operations.
  • B. Runway 5R/23L
    Runway 5R/23L is a primary paved runway at Rickenbacker International Airport in Ohio, used for handling large commercial and cargo aircraft operations.
  • C. Runway 5R/23L
    Runway 5R/23L is a primary paved runway at Piedmont Triad International Airport in North Carolina, used for commercial and general aviation operations.
  • D. Runway 5L/23R
    Runway 5L/23R is a primary paved runway at McGhee Tyson Airport in Tennessee, used for commercial and general aviation operations.
  • E. Runway 17/35
    Runway 17/35 is a primary paved runway used for aircraft operations at Kauhava Air Base in Finland.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645bb41481909294b06e2b3e1845 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81e93671481909555acbc8a712930 completed March 28, 2026, 6:31 p.m.
NEDg Description generation batch_69c81fd379cc81908b52c45fddea9870 completed March 28, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69c8209b7fa48190aea45a6b21ad8de1 completed March 28, 2026, 6:40 p.m.
Created at: March 22, 2026, 4:27 p.m.