Triple

T13878297
Position Surface form Disambiguated ID Type / Status
Subject Gosford railway station E333639 entity
Predicate connectsTo P845 FINISHED
Object Newcastle E83982 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: Newcastle | Statement: [Gosford railway station, connectsTo, Newcastle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newcastle
Context triple: [Gosford railway station, connectsTo, Newcastle]
  • A. Newcastle
    Newcastle is a settlement within the Parish of St. Andrew, likely a small town or village in a predominantly rural Caribbean island parish.
  • B. Newcastle chosen
    Newcastle is a coastal city in New South Wales, Australia, known for its busy port, beaches, and industrial heritage.
  • C. Newcastle
    Newcastle is a community in the municipality of Clarington, Ontario, known for its small-town character and location along the north shore of Lake Ontario.
  • D. Newcastle
    Newcastle is a small suburban village in South Dublin, Ireland, known for its historic character and proximity to Dublin city.
  • E. Newcastle
    Newcastle is a small unincorporated community located in Iron County, Utah, in the western United States.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be71d388190909290cad2c6daf5 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6fe88348190aa9803f7d6d67023 completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 10:15 p.m.