Triple

T10324731
Position Surface form Disambiguated ID Type / Status
Subject Sky-Streak cabin monorail E242731 entity
Predicate name P16 FINISHED
Object Sky-Streak cabin monorail E242731 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: Sky-Streak cabin monorail | Statement: [Sky-Streak cabin monorail, name, Sky-Streak cabin monorail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky-Streak cabin monorail
Context triple: [Sky-Streak cabin monorail, name, Sky-Streak cabin monorail]
  • A. Sky-Streak cabin monorail chosen
    The Sky-Streak cabin monorail was a futuristic elevated transportation ride that showcased modern transit technology to visitors at the New York World's Fair.
  • B. Alweg Monorail
    The Alweg Monorail is an elevated monorail system in Seattle that became an iconic symbol of mid-20th-century futuristic transportation design.
  • C. Airtrain
    Airtrain is a privately operated commuter rail service that connects Brisbane Airport with Brisbane’s central business district and surrounding suburbs.
  • D. KL Monorail
    KL Monorail is an elevated urban rail line in Kuala Lumpur that provides rapid transit service through the city’s central and commercial districts.
  • E. AeroTrain
    AeroTrain is an automated underground people mover system that transports passengers between terminals at Washington Dulles International Airport.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6ce683c8190bf5385dd04bf2de8 completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71da93b988190ad568b0677b5d344 completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:51 a.m.