Triple

T2177131
Position Surface form Disambiguated ID Type / Status
Subject Concourse A Station E48554 entity
Predicate connectsTo P845 FINISHED
Object Main Terminal Station E29946 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 Station | Statement: [Concourse A Station, connectsTo, Main Terminal Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Main Terminal Station
Context triple: [Concourse A Station, connectsTo, Main Terminal Station]
  • A. Main Terminal Station chosen
    Main Terminal Station is the primary AeroTrain stop serving the airport’s central passenger terminal complex.
  • B. King station
    King station is a downtown Toronto subway station on the TTC network serving the Financial District and nearby attractions.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbeecdbc881909982a58568f0b1ed completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da14e3881909f0beda339599938 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.