Triple

T13619099
Position Surface form Disambiguated ID Type / Status
Subject Argall E325400 entity
Predicate settingLocation P40 FINISHED
Object Jamestown E32942 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: Jamestown | Statement: [Argall, settingLocation, Jamestown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamestown
Context triple: [Argall, settingLocation, Jamestown]
  • A. Jamestown
    Jamestown is a small town located on Conanicut Island in Narragansett Bay, Rhode Island, known for its coastal scenery and historic New England character.
  • B. Jamestown chosen
    Jamestown is the site of the first permanent English settlement in North America, founded in 1607 in what is now Virginia.
  • C. Jamestown
    Jamestown is a small historic town in North Carolina known for its early American roots and proximity to the cities of Greensboro and High Point.
  • D. Jamestown
    Jamestown is a small city in central North Dakota known as a regional agricultural and manufacturing hub and home to the University of Jamestown.
  • E. Jamestown
    Jamestown is a British historical drama television series that follows the lives of early English settlers in 17th-century colonial Virginia.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0ae77e0819081e3b14642460dc6 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa0b81c819094e2fa209ef9857c completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.