Triple

T7361728
Position Surface form Disambiguated ID Type / Status
Subject John Burgoyne E169764 entity
Predicate parliamentaryConstituency P2710 FINISHED
Object Preston E24766 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: Preston | Statement: [John Burgoyne, parliamentaryConstituency, Preston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Preston
Context triple: [John Burgoyne, parliamentaryConstituency, Preston]
  • A. Preston chosen
    Preston is a historic industrial city in Lancashire, England, known for its role in the Industrial Revolution and its status as a major urban center in the North West.
  • B. Preston
    Preston is a locality within the Dover District of Kent, England, known as a small rural village community.
  • C. Preston
    Preston is a masculine given name of English origin that has been used both as a first name and a surname.
  • D. Preston
    Preston is a residential area and suburb within the Metropolitan Borough of North Tyneside in North East England.
  • E. Preston
    Preston is a suburb in Melbourne, Australia, served by its own railway station on the metropolitan train network.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f15e0280819086627cef15fe18bd completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab3a9d88190b9193dd0729eba5a completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:06 p.m.