Triple

T18972895
Position Surface form Disambiguated ID Type / Status
Subject AT E464216 entity
Predicate brand P1500 FINISHED
Object AT Metro
AT Metro is the public transport network brand for Auckland, New Zealand, covering bus, train, and ferry services managed by Auckland Transport.
E1352541 NE FINISHED

How this triple was built (4 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: AT Metro | Statement: [AT, brand, AT Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AT Metro
Context triple: [AT, brand, AT Metro]
  • A. Airport Metro
    Airport Metro is a key Chennai Metro station serving Chennai International Airport and connecting air travelers to the city’s rapid transit network.
  • B. METRO
    METRO is the public-facing brand name used by Metro Transit for its network of buses, trains, and other mass transportation services.
  • C. NFTA Metro
    NFTA Metro is the public transit division serving the Buffalo–Niagara region in New York, operating local buses and light rail services.
  • 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. Premetro
    Premetro is a light rail or tramway feeder line that connects outlying neighborhoods to the main Buenos Aires Subte (subway) network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AT Metro
Triple: [AT, brand, AT Metro]
Generated description
AT Metro is the public transport network brand for Auckland, New Zealand, covering bus, train, and ferry services managed by Auckland Transport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AT Metro
Target entity description: AT Metro is the public transport network brand for Auckland, New Zealand, covering bus, train, and ferry services managed by Auckland Transport.
  • A. Airport Metro
    Airport Metro is a key Chennai Metro station serving Chennai International Airport and connecting air travelers to the city’s rapid transit network.
  • B. METRO
    METRO is the public-facing brand name used by Metro Transit for its network of buses, trains, and other mass transportation services.
  • C. NFTA Metro
    NFTA Metro is the public transit division serving the Buffalo–Niagara region in New York, operating local buses and light rail services.
  • 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. Premetro
    Premetro is a light rail or tramway feeder line that connects outlying neighborhoods to the main Buenos Aires Subte (subway) network.
  • F. None of above. chosen

Provenance (5 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d61cb3ac8190bfe29104166fa090 completed April 20, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05ad3b777c8190af377e88f0534e80 completed May 14, 2026, 11:08 a.m.
NEDg Description generation batch_6a05afeed9188190b7a7ed4ae443dc2d completed May 14, 2026, 11:20 a.m.
NED2 Entity disambiguation (via description) batch_6a05b05c56048190a8a5b5aa4bfc6431 completed May 14, 2026, 11:22 a.m.
Created at: April 10, 2026, noon