Triple

T2073729
Position Surface form Disambiguated ID Type / Status
Subject SJC E44873 entity
Predicate hasRunway P105 FINISHED
Object Runway 12L/30R E44874 NE FINISHED

How this triple was built (2 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 12L/30R | Statement: [SJC, hasRunway, Runway 12L/30R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 12L/30R
Context triple: [SJC, hasRunway, Runway 12L/30R]
  • A. Runway 12L/30R chosen
    Runway 12L/30R is one of the primary parallel runways at San Jose International Airport, used for handling a significant portion of the airport’s takeoff and landing traffic.
  • B. Runway 12R/30L
    Runway 12R/30L is one of the primary paved runways at Minneapolis–Saint Paul International Airport, used for handling a significant share of the airport’s commercial air traffic.
  • C. Runway 12R/30L
    Runway 12R/30L is one of the primary paved runways used for aircraft takeoffs and landings at Nikola Tesla International Airport in Belgrade, Serbia.
  • D. Runway 14L/32R
    Runway 14L/32R is one of the primary paved runways at Moffett Field in California, used for military, research, and general aviation operations.
  • E. Runway 13L/31R
    Runway 13L/31R is one of the primary paved runways at Chicago Midway International Airport, used for both commercial and general aviation operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba101c008190840763d2f28fa8d7 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf266ed881909206c87c69a2ea95 completed March 10, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:41 p.m.