Triple

T3859622
Position Surface form Disambiguated ID Type / Status
Subject A92 E90102 entity
Predicate terminus P388 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: [A92, terminus, Aberdeen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aberdeen
Context triple: [A92, terminus, 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 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.
  • D. Aberdeen
    Aberdeen is a small city in northeastern South Dakota known as a regional hub for agriculture, education, and rail transport.
  • E. Inverness
    Inverness is a city in the Scottish Highlands that serves as a major cultural and administrative center for the region.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec1ff39c8190b83a88abd840a0e3 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5283ccf68819086c6349ceb71f099 completed March 14, 2026, 9:19 a.m.
Created at: March 9, 2026, 3:19 p.m.