Triple

T8034307
Position Surface form Disambiguated ID Type / Status
Subject Kenneth Hamilton E187064 entity
Predicate placeOfWork P1527 FINISHED
Object Cardiff, Wales E12034 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: Cardiff, Wales | Statement: [Kenneth Hamilton, placeOfWork, Cardiff, Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cardiff, Wales
Context triple: [Kenneth Hamilton, placeOfWork, Cardiff, Wales]
  • A. Cardiff chosen
    Cardiff is the capital and largest city of Wales, known as a major cultural, commercial, and sporting center with a rich industrial and maritime history.
  • B. Llandaff, Cardiff, Wales
    Llandaff, Cardiff, Wales is a historic district of Cardiff known for its ancient cathedral and as the birthplace of notable figures such as singer Charlotte Church.
  • C. Swansea
    Swansea is a coastal city in South Wales known for its maritime heritage, industrial history, and role as a target during World War II air raids.
  • D. Swansea
    Swansea is a coastal town in Bristol County, Massachusetts, known for its suburban character and proximity to both Providence and Fall River.
  • E. Cardiff-by-the-Sea
    Cardiff-by-the-Sea is a laid-back coastal community in northern San Diego County known for its beaches, surf culture, and small-town charm.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef50f4c8190a895ac301f182734 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe4211bc8190a784c19f11f17a39 completed April 1, 2026, 6:42 a.m.
Created at: March 30, 2026, 5:22 p.m.