Triple

T19892524
Position Surface form Disambiguated ID Type / Status
Subject Upper Bann E478065 entity
Predicate containsSettlement P847 FINISHED
Object Waringstown 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: Waringstown | Statement: [Upper Bann, containsSettlement, Waringstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waringstown
Context triple: [Upper Bann, containsSettlement, Waringstown]
  • A. Waringstown chosen
    Waringstown is a village in County Down, Northern Ireland, noted for its historic linen industry and well-preserved Georgian architecture.
  • B. Nichollstown
    Nichollstown is a small settlement on Andros Island in the Bahamas, known as one of the island’s main communities.
  • C. Dormanstown
    Dormanstown is a residential area and suburb within the borough of Redcar and Cleveland in North Yorkshire, England.
  • D. Ellistown
    Ellistown is a small village in Leicestershire, England, historically associated with coal mining and situated near the town of Coalville.
  • E. Griffithstown
    Griffithstown is a residential community and suburb within the county borough of Torfaen in South Wales.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590ed7988190bc6b610d1f4fa194 completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.