Triple

T19571375
Position Surface form Disambiguated ID Type / Status
Subject Boekenstad E489723 entity
Predicate meaning P129 FINISHED
Object Book Town 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: Book Town | Statement: [Boekenstad, meaning, Book Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Book Town
Context triple: [Boekenstad, meaning, Book Town]
  • A. Pag town
    Pag town is a historic coastal settlement on the Croatian island of Pag, known for its distinctive stone landscape, lace-making tradition, and production of Pag cheese and sea salt.
  • B. Wigtown chosen
    Wigtown is a small Scottish town in Dumfries and Galloway best known as Scotland’s National Book Town, hosting an annual literary festival.
  • C. Bergville
    Bergville is a small town in KwaZulu-Natal, South Africa, serving as a gateway to the northern Drakensberg mountain region.
  • D. City of Old Town
    The City of Old Town is a municipal government that administers local services, governance, and public safety for the community of Old Town.
  • E. City of Walker
    The City of Walker is a small municipality located within Ellis County, Kansas, known for its rural character and historical ties to Volga German settlers.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402103208190b80acdfa82b7a9c4 completed April 20, 2026, 3:02 p.m.
Created at: April 10, 2026, 1:42 p.m.