Triple

T11242349
Position Surface form Disambiguated ID Type / Status
Subject CYVR E266100 entity
Predicate hasTerminal P182 FINISHED
Object Main Terminal E266102 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: [CYVR, hasTerminal, Main Terminal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Main Terminal
Context triple: [CYVR, 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 chosen
    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.
  • D. Main Terminal
    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.
  • E. Main Terminal
    Main Terminal is the central passenger hub and primary concourse complex at Tampa International Airport, housing ticketing, security, baggage claim, and connections to the airport’s airsides.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91b0b808190bc38008bb344d180 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad849f70819098a7056fbc4831ff completed April 19, 2026, 10:25 a.m.
Created at: April 8, 2026, 9:30 p.m.