Triple

T17250456
Position Surface form Disambiguated ID Type / Status
Subject Sheffield Brightside E418736 entity
Predicate containsArea P11790 FINISHED
Object Tinsley E1152791 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: Tinsley | Statement: [Sheffield Brightside, containsArea, Tinsley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tinsley
Context triple: [Sheffield Brightside, containsArea, Tinsley]
  • A. Tinsley chosen
    Tinsley is an English-origin surname borne by various notable individuals, including American violinist Boyd Tinsley of the Dave Matthews Band.
  • B. Silksworth
    Silksworth is a residential suburb of Sunderland in North East England, historically a mining village and now known for its housing estates and leisure facilities.
  • C. Tesseney
    Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
  • D. Kilnsey
    Kilnsey is a small rural village in the Yorkshire Dales of northern England, known for its dramatic limestone crag and scenic countryside.
  • E. Blackwood
    Blackwood is a town in south Wales known for its coal-mining heritage and location in the Sirhowy Valley.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e270fc48190a75f3893a5ec059b completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f96e548190be92846e072118f9 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.