Triple

T3295470
Position Surface form Disambiguated ID Type / Status
Subject Dundee East E69203 entity
Predicate containsPart P35 FINISHED
Object City of Dundee E20225 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 Dundee | Statement: [Dundee East, containsPart, City of Dundee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Dundee
Context triple: [Dundee East, containsPart, City of Dundee]
  • A. Dundee chosen
    Dundee is a coastal city in eastern Scotland known for its historic jute industry, maritime heritage, and contemporary cultural and design scene.
  • B. Motherwell
    Motherwell is a former industrial town in North Lanarkshire, Scotland, historically known as a major center of the steel industry.
  • C. Edithburgh
    Edithburgh is a small coastal town in South Australia known for its historic jetty, fishing, and popular scuba diving and snorkeling sites.
  • D. Paisley
    Paisley is a large town in the west of Scotland known for its historic textile industry and as the origin of the famous paisley pattern.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb077c60c81909782be5202ce5a43 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86e867c8190a1e5042a4d4d92cb completed March 12, 2026, 4:23 p.m.
Created at: March 8, 2026, 3:10 p.m.