Triple

T19709413
Position Surface form Disambiguated ID Type / Status
Subject Press and Journal E473300 entity
Predicate coverageArea P82 FINISHED
Object Aberdeen 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: Aberdeen | Statement: [Press and Journal, coverageArea, Aberdeen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aberdeen
Context triple: [Press and Journal, coverageArea, Aberdeen]
  • A. Aberdeen chosen
    Aberdeen is a major port city in northeast Scotland known for its North Sea oil industry, granite architecture, and role as a regional economic and cultural hub.
  • B. Aberdeen
    Aberdeen is a small rural town in the Upper Hunter region of New South Wales, Australia, known historically for its agricultural and meat-processing industries.
  • C. Aberdeen
    Aberdeen is a small city in northeastern South Dakota known as a regional hub for agriculture, education, and rail transport.
  • D. Aberdeen
    Aberdeen is a coastal town on the southwest side of Hong Kong Island known for its traditional fishing community and famous floating village and seafood restaurants.
  • E. Aberdeen
    Aberdeen is a residential neighbourhood in the city of Kamloops, British Columbia, known for its hillside location, views over the valley, and mix of family homes and commercial amenities.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64406f9808190acd74aa03c392eb0 completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.