Triple

T14036550
Position Surface form Disambiguated ID Type / Status
Subject LGAV E337726 entity
Predicate hasTerminal P182 FINISHED
Object Main Terminal E337729 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: Main Terminal | Statement: [LGAV, hasTerminal, Main Terminal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Main Terminal
Context triple: [LGAV, hasTerminal, Main Terminal]
  • A. Main Terminal
    Main Terminal is the primary passenger terminal complex at Geneva Airport, handling most of the airport’s check-in, security, and boarding operations.
  • B. Main Terminal
    Main Terminal is the primary passenger terminal complex at St. Louis Lambert International Airport, housing most of the airport’s check-in, security, and boarding facilities.
  • C. Main Terminal
    Main Terminal is the primary passenger terminal building at Sea Island Airport, serving as its central hub for check-in, security, boarding, and arrivals.
  • D. Main Terminal
    Main Terminal is the primary passenger terminal complex at Vancouver International Airport, handling the majority of the airport’s domestic and international flights and services.
  • E. Main Terminal chosen
    The Main Terminal at Athens International Airport Eleftherios Venizelos is the airport’s primary passenger facility, handling most check-in, security, and boarding operations for domestic and international 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de30e312148190a6be0a3258364e6e completed April 14, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb65a21088190a14808d09b2b9f42 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.