Triple

T1984722
Position Surface form Disambiguated ID Type / Status
Subject St. Louis Lambert International Airport E43114 entity
Predicate hasRunway P105 FINISHED
Object 12R/30L
12R/30L is a primary paved runway at St. Louis Lambert International Airport used for aircraft takeoffs and landings.
E223188 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: 12R/30L | Statement: [St. Louis Lambert International Airport, hasRunway, 12R/30L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 12R/30L
Context triple: [St. Louis Lambert International Airport, hasRunway, 12R/30L]
  • A. 10R/28L
    10R/28L is a primary east–west runway at Fort Lauderdale–Hollywood International Airport used for commercial air traffic operations.
  • B. 13R/31L
    13R/31L is a major runway at Dallas/Fort Worth International Airport used for handling high volumes of commercial air traffic.
  • C. L6L
    L6L is a Canadian postal code prefix serving part of the town of Oakville in southern Ontario.
  • D. L3
    L3 is a particle physics experiment that operated at CERN’s Large Electron–Positron Collider, designed to study high-energy electron–positron collisions and probe the Standard Model.
  • E. NJ-12
    NJ-12 is a New Jersey congressional district represented in the U.S. House of Representatives, encompassing parts of central New Jersey including portions of Mercer, Middlesex, Somerset, and Union counties.
  • 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: 12R/30L
Triple: [St. Louis Lambert International Airport, hasRunway, 12R/30L]
Generated description
12R/30L is a primary paved runway at St. Louis Lambert International Airport used for aircraft takeoffs and landings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 12R/30L
Target entity description: 12R/30L is a primary paved runway at St. Louis Lambert International Airport used for aircraft takeoffs and landings.
  • A. 10R/28L
    10R/28L is a primary east–west runway at Fort Lauderdale–Hollywood International Airport used for commercial air traffic operations.
  • B. 13R/31L
    13R/31L is a major runway at Dallas/Fort Worth International Airport used for handling high volumes of commercial air traffic.
  • C. L6L
    L6L is a Canadian postal code prefix serving part of the town of Oakville in southern Ontario.
  • D. L3
    L3 is a particle physics experiment that operated at CERN’s Large Electron–Positron Collider, designed to study high-energy electron–positron collisions and probe the Standard Model.
  • E. NJ-12
    NJ-12 is a New Jersey congressional district represented in the U.S. House of Representatives, encompassing parts of central New Jersey including portions of Mercer, Middlesex, Somerset, and Union counties.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb821c2d48190abea6c89f37b51b1 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae03301a2481909f6147482d490b90 completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae04eb6c5c8190914fc35975400784 completed March 8, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69ae055df5ec8190ae39d938a8102b9d completed March 8, 2026, 11:25 p.m.
Created at: March 4, 2026, 7:37 p.m.