Triple

T2073446
Position Surface form Disambiguated ID Type / Status
Subject Alfred Adler E44867 entity
Predicate placeOfDeath P21 FINISHED
Object Aberdeen E53521 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: Aberdeen | Statement: [Alfred Adler, placeOfDeath, Aberdeen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aberdeen
Context triple: [Alfred Adler, placeOfDeath, 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. Inverness
    Inverness is a city in the Scottish Highlands that serves as a major cultural and administrative center for the region.
  • E. Dundee
    Dundee is a coastal city in eastern Scotland known for its historic jute industry, maritime heritage, and contemporary cultural and design scene.
  • 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba101c008190840763d2f28fa8d7 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3ae5cb48190bd6d1ed21f56fe2a completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:41 p.m.