Triple

T6681195
Position Surface form Disambiguated ID Type / Status
Subject KTPA E151983 entity
Predicate hasTerminal P182 FINISHED
Object Airside E E153952 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: Airside E | Statement: [KTPA, hasTerminal, Airside E]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airside E
Context triple: [KTPA, hasTerminal, Airside E]
  • A. Airside E chosen
    Airside E is one of the passenger terminal concourses at Tampa International Airport, serving various domestic and potentially international flights with boarding gates and related amenities.
  • B. Airside A
    Airside A is one of the passenger concourses at Tampa International Airport, serving multiple airline gates and amenities for departing and arriving travelers.
  • C. Airside F
    Airside F is one of the passenger concourses at Tampa International Airport, serving various domestic and potentially international flights with multiple gates and amenities.
  • D. Airside C
    Airside C is one of the passenger terminal concourses at Tampa International Airport, serving various domestic and potentially some international flights with gates and traveler amenities.
  • E. Airside Terminal
    Airside Terminal is the central passenger terminal at Pittsburgh International Airport, housing the main concourses, gates, and passenger amenities for departing and arriving flights.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b11f945481908e1a9f0839c35b5b completed March 27, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71290084081909f23126c63d2d2ab completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:04 p.m.