Triple

T4266650
Position Surface form Disambiguated ID Type / Status
Subject Glasgow shipbuilding industry E96840 entity
Predicate associatedWith P37 FINISHED
Object Govan E60687 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: Govan | Statement: [Glasgow shipbuilding industry, associatedWith, Govan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Govan
Context triple: [Glasgow shipbuilding industry, associatedWith, Govan]
  • A. Govan chosen
    Govan is a historic district on the River Clyde in Glasgow, Scotland, traditionally known for its shipbuilding industry and working-class roots.
  • B. Uddingston
    Uddingston is a suburban town in Scotland, situated near Glasgow and known for its residential character and local amenities.
  • C. Hillhead
    Hillhead is a vibrant district in Glasgow’s West End known for its proximity to the University of Glasgow, bustling Byres Road, and a mix of shops, cafes, and cultural venues.
  • D. Shotts
    Shotts is a small town in central Scotland known historically for its coal mining and industrial heritage.
  • E. Blantyre
    Blantyre is Malawi’s largest commercial and industrial city, serving as a major economic and cultural hub in the country.
  • 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34fcc383c81908e17da7cbc86a630 completed March 12, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b79992a08190b614a89aa36cf674 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:07 p.m.