Triple

T4822931
Position Surface form Disambiguated ID Type / Status
Subject Greenmeadow E107751 entity
Predicate nearbyTown P3883 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: [Greenmeadow, nearbyTown, Newport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newport
Context triple: [Greenmeadow, nearbyTown, 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
    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. 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6caa95ec8190bea525dbf3a00477 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fa6479c8190b04c2ff50b98ad1d completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:24 p.m.