Triple

T16614596
Position Surface form Disambiguated ID Type / Status
Subject Newport deanery E403662 entity
Predicate locatedIn P40 FINISHED
Object Newport unclear NED1 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: [Newport deanery, locatedIn, Newport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newport
Context triple: [Newport deanery, locatedIn, Newport]
  • A. Newport
    Newport is a coastal city in Oregon known for its fishing industry, marine science centers, and scenic Pacific shoreline.
  • 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 market town in Shropshire, England, known for its historic high street and traditional rural character.
  • D. Newport
    Newport is a historic coastal city in Rhode Island renowned for its Gilded Age mansions, sailing culture, and colonial-era architecture.
  • E. Newport
    Newport is a small coastal town in western Ireland known for its scenic setting on Clew Bay and proximity to the Great Western Greenway in County Mayo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3609935a88190baa56f3a42b2ecd1 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075aeaa9881908bdef0f9f2b52e60 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:17 a.m.