Triple

T20926345
Position Surface form Disambiguated ID Type / Status
Subject Awabakal E515353 entity
Predicate hasPopulationRegion P10611 FINISHED
Object Newcastle NE NERFINISHED

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: [Awabakal, hasPopulationRegion, Newcastle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newcastle
Context triple: [Awabakal, hasPopulationRegion, Newcastle]
  • A. Newcastle
    Newcastle is a small suburban village in South Dublin, Ireland, known for its historic character and proximity to Dublin city.
  • B. Newcastle
    Newcastle is a settlement within the Parish of St. Andrew, likely a small town or village in a predominantly rural Caribbean island parish.
  • C. Newcastle chosen
    Newcastle is a major city in northeast England known for its industrial heritage, vibrant cultural scene, and status as a key regional hub on the River Tyne.
  • D. 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.
  • 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 (2 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f65200b08190ac208204a20f5a6a completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 12:49 p.m.