Triple

T16594595
Position Surface form Disambiguated ID Type / Status
Subject Concourse K E403173 entity
Predicate connectedTo P37 FINISHED
Object Concourse L E405687 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: Concourse L | Statement: [Concourse K, connectedTo, Concourse L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concourse L
Context triple: [Concourse K, connectedTo, Concourse L]
  • A. Concourse L chosen
    Concourse L is one of the passenger concourses within Terminal 3 at Chicago O'Hare International Airport, serving various domestic airline gates and amenities.
  • B. Concourse E
    Concourse E is a regional jet concourse at Charlotte Douglas International Airport that primarily serves short-haul and commuter flights.
  • C. Concourse E
    Concourse E is an international airport terminal area that serves as a primary hub for handling overseas flights and related passenger services.
  • D. Concourse E
    Concourse E is one of the passenger terminal concourses at Portland International Airport, serving airline gates and related airport facilities.
  • E. Concourse E
    Concourse E is a passenger terminal concourse at Harry Reid International Airport in Las Vegas, Nevada, serving various domestic and international airline 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d70ad008190bba0901bf3c7089f completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a008a275910819086b49ce741045ecf completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:16 a.m.