Triple

T16379028
Position Surface form Disambiguated ID Type / Status
Subject South Wales Police E397751 entity
Predicate servesCity P82 FINISHED
Object Newport E438884 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: Newport | Statement: [South Wales Police, servesCity, Newport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newport
Context triple: [South Wales Police, servesCity, Newport]
  • A. Newport
    Newport is a leading menthol cigarette brand in the United States, known for its strong market presence and association with menthol-flavored tobacco products.
  • B. Newport
    Newport is the former name of Parkersburg, a city located along the Ohio River in western West Virginia.
  • C. Newport
    Newport is a coastal city in Oregon known for its fishing industry, marine science centers, and scenic Pacific shoreline.
  • D. Newport chosen
    Newport is a market town in Shropshire, England, known for its historic high street and traditional rural character.
  • E. Newport
    Newport is a historic coastal city in Rhode Island renowned for its Gilded Age mansions, sailing culture, and colonial-era architecture.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319da3c6c8190a9ccf744996c31e8 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457751208190b1e3dd6be3c0f363 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:08 a.m.