Triple

T18138263
Position Surface form Disambiguated ID Type / Status
Subject Lago Fagnano E434192 entity
Predicate nearbyCity P350 FINISHED
Object Tolhuin 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: Tolhuin | Statement: [Lago Fagnano, nearbyCity, Tolhuin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tolhuin
Context triple: [Lago Fagnano, nearbyCity, Tolhuin]
  • A. Tolhuin chosen
    Tolhuin is a small town in the Argentine part of Tierra del Fuego, known for its location on the shores of Lake Fagnano between Ushuaia and Río Grande.
  • B. Bassett
    Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
  • C. Bassett
    Bassett is the young gardener and betting partner in D. H. Lawrence’s short story “The Rocking-Horse Winner,” who helps the protagonist place successful horse-race wagers.
  • D. Esmond
    Esmond is a central character in the novel "Esmond in India," around whom the story’s events and relationships revolve.
  • E. Esmond
    Esmond is a village in the town of Smithfield in Providence County, Rhode Island, known historically for its textile mill and early industrial development.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de089f1881908dff9835be5129a1 completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.