Triple

T16603598
Position Surface form Disambiguated ID Type / Status
Subject Queensland Rail E403393 entity
Predicate brand P1500 FINISHED
Object Citytrain E872502 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: Citytrain | Statement: [Queensland Rail, brand, Citytrain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citytrain
Context triple: [Queensland Rail, brand, Citytrain]
  • A. Citytrain network chosen
    The Citytrain network is Brisbane’s suburban passenger rail system, providing frequent commuter services across the greater metropolitan area and surrounding regions.
  • B. Downtown Train
    "Downtown Train" is a popular rock ballad best known from Rod Stewart’s hit 1989 cover of Tom Waits’ original song.
  • C. Cityride
    Cityride is a Los Angeles Department of Transportation (LADOT) transit program that provides discounted transportation services for seniors and people with disabilities within the city.
  • D. Metros
    Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
  • E. City Line
    City Line is a commuter rail service on Bangkok’s Suvarnabhumi Airport Rail Link that connects the airport with central city stations using frequent, all-stop trains.
  • 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_69e35d77d97c8190a63330897e49a9c9 completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075a67abc8190b0f29a9e4589befb completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:17 a.m.