Triple

T8678082
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Borough of Knowsley E205964 entity
Predicate containsSettlement P847 FINISHED
Object Cronton E365622 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: Cronton | Statement: [Metropolitan Borough of Knowsley, containsSettlement, Cronton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cronton
Context triple: [Metropolitan Borough of Knowsley, containsSettlement, Cronton]
  • A. Cronton chosen
    Cronton is a small village and civil parish in the Metropolitan Borough of Knowsley in Merseyside, England.
  • B. Croston
    Croston is a historic village in Lancashire, England, known for its picturesque rural setting, traditional architecture, and riverside location.
  • C. Cresson
    Cresson is a French surname most notably borne by Édith Cresson, who served as France’s first female prime minister.
  • D. Byington
    Byington is a former name of the community now known as Karns in Tennessee.
  • E. Parkville
    Parkville is the main inner-city campus precinct of the University of Melbourne in Melbourne, Australia, known for its historic architecture and proximity to the central business district.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc49f7c2c081909ec93413ceefbb1c completed March 31, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3a98ee881908d546e9a55217792 completed April 2, 2026, 10:54 p.m.
Created at: March 30, 2026, 6:32 p.m.