Triple

T763727
Position Surface form Disambiguated ID Type / Status
Subject A92 road E16127 entity
Predicate connects P390 FINISHED
Object City of 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: City of Aberdeen | Statement: [A92 road, connects, City of Aberdeen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Aberdeen
Context triple: [A92 road, connects, City of 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. Inverness
    Inverness is a city in the Scottish Highlands that serves as a major cultural and administrative center for the region.
  • D. Albany, Scotland
    Albany, Scotland is a historic region and former duchy in central Scotland traditionally associated with the area north of the River Forth.
  • E. Edinburgh of the Seven Seas
    Edinburgh of the Seven Seas is the remote main settlement and administrative center of the island of Tristan da Cunha in the South Atlantic Ocean.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a69c8c448190a036a04fd8fdd2c2 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2caba8c81908ef693677acbd4cc completed March 7, 2026, 10:12 p.m.
Created at: March 1, 2026, 7:37 p.m.