Triple

T10328187
Position Surface form Disambiguated ID Type / Status
Subject County Waterford E242812 entity
Predicate hasNUTS3Region P9956 FINISHED
Object South-East E467734 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: South-East | Statement: [County Waterford, hasNUTS3Region, South-East]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South-East
Context triple: [County Waterford, hasNUTS3Region, South-East]
  • A. South East
    South East is one of Nigeria’s six geopolitical zones, predominantly inhabited by Igbo-speaking people and known for its dense population, commerce, and vibrant cultural heritage.
  • B. South-East Region chosen
    The South-East Region is an administrative and statistical region of Ireland encompassing several counties in the southeast of the country, known for its mix of historic cities, agriculture, and coastal areas.
  • C. South South
    South South is a geopolitical zone in southern Nigeria comprising several oil-rich coastal states in the Niger Delta region.
  • D. South West
    South West is a region of England encompassing counties such as Cornwall, Devon, Somerset, and Dorset, known for its coastline, rural landscapes, and cultural heritage.
  • E. South West
    South West is a London Assembly constituency covering parts of southwest London, including boroughs such as Hounslow, Richmond upon Thames, and Kingston upon Thames.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cf21e08190bf605daeea0d9dcf completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71db4a8dc81909adb2a044e74fd6b completed April 9, 2026, 3:32 a.m.
Created at: April 6, 2026, 11:52 a.m.