Triple

T9982298
Position Surface form Disambiguated ID Type / Status
Subject Breage E196482 entity
Predicate postTown P2711 FINISHED
Object HELSTON E765277 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: HELSTON | Statement: [Breage, postTown, HELSTON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HELSTON
Context triple: [Breage, postTown, HELSTON]
  • A. HELSTON chosen
    HELSTON is a small historic market town in Cornwall, England, known as the gateway to the Lizard Peninsula and for its traditional Flora Day celebrations.
  • B. Hartland
    Hartland is a given name most notably borne by American theoretical physicist Hartland Snyder, known for his early work on non-commutative geometry in quantum field theory.
  • C. Hartland
    Hartland is a small rural town in northwestern Connecticut known for its forests, reservoirs, and low population density.
  • D. Hartland
    Hartland is a suburban village in Waukesha County, Wisconsin, known for its residential communities and proximity to the Milwaukee metropolitan area.
  • E. Houghton
    Houghton is a wealthy, historically significant suburb of Johannesburg, South Africa, known for being the longtime home of Nelson Mandela.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bca41081909c04fb77603403b9 completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257e888908190a7187e26ba025a44 completed April 5, 2026, 12:39 p.m.
Created at: March 30, 2026, 8:49 p.m.