Triple

T10737964
Position Surface form Disambiguated ID Type / Status
Subject Annabel Davis-Goff E253243 entity
Predicate workLocation P7 FINISHED
Object Bennington, Vermont E80107 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: Bennington, Vermont | Statement: [Annabel Davis-Goff, workLocation, Bennington, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bennington, Vermont
Context triple: [Annabel Davis-Goff, workLocation, Bennington, Vermont]
  • A. Bennington, Vermont chosen
    Bennington, Vermont is a historic town in southwestern Vermont known for its role in the American Revolutionary War and its prominent Revolutionary War monument.
  • B. Bennington, New Hampshire
    Bennington, New Hampshire is a small rural town in Hillsborough County known for its scenic landscapes and proximity to outdoor recreation in the Monadnock Region.
  • C. St. George, Vermont
    St. George, Vermont is a small town in northwestern Vermont known for being the least populous town in Chittenden County.
  • D. Newport, Vermont
    Newport, Vermont is a small city in northern Vermont located on the southern shore of Lake Memphremagog near the Canadian border.
  • E. Woodstock, Vermont
    Woodstock, Vermont is a historic New England town known for its picturesque village green, classic covered bridges, and well-preserved 19th-century 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710410a04819090036597ac0d271c completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69e49658b5a48190813dcf114d92be8e completed April 19, 2026, 8:46 a.m.
Created at: April 8, 2026, 9:14 p.m.