Triple

T19600506
Position Surface form Disambiguated ID Type / Status
Subject Pontygwaith E470458 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Tylorstown 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: Tylorstown | Statement: [Pontygwaith, hasNearbySettlement, Tylorstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tylorstown
Context triple: [Pontygwaith, hasNearbySettlement, Tylorstown]
  • A. Tylorstown chosen
    Tylorstown is a former coal mining village in the Rhondda Fach valley in Rhondda Cynon Taf, Wales.
  • B. Stewarttown
    Stewarttown is a small community located within the town of Halton Hills in Ontario, Canada.
  • C. Taylortown
    Taylortown is a small village located within the town of Griswold in New London County, Connecticut.
  • D. Shingletown
    Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
  • E. Scotchtown
    Scotchtown is a historic 18th-century plantation in Hanover County, Virginia, best known as the longtime home of American patriot Patrick Henry.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407df98c8190b258ac3b690fe4b1 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.