Triple

T22669949
Position Surface form Disambiguated ID Type / Status
Subject Rough Point E559893 entity
Predicate city P40 FINISHED
Object Newport NE NERFINISHED

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: [Rough Point, city, Newport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newport
Context triple: [Rough Point, city, 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 market town in Shropshire, England, known for its historic high street and traditional rural character.
  • D. Newport chosen
    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.

Provenance (2 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781ed50c8190a6943f51d7337b49 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.