Triple

T14836091
Position Surface form Disambiguated ID Type / Status
Subject Downend E348833 entity
Predicate near P350 FINISHED
Object Frenchay E345938 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: Frenchay | Statement: [Downend, near, Frenchay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frenchay
Context triple: [Downend, near, Frenchay]
  • A. Frenchay chosen
    Frenchay is a village and former parish on the northeastern edge of Bristol in South Gloucestershire, England, known for its historic common and former hospital.
  • B. Houilles
    Houilles is a suburban commune in north-central France, located in the western outskirts of Paris within the Yvelines department.
  • C. Bondynois
    Bondynois is the French demonym for inhabitants of the commune of Bondy, located in the northeastern suburbs of Paris.
  • D. Ferreries
    Ferreries is a small inland town and municipality on the Spanish Balearic island of Menorca, known for its traditional crafts and rural surroundings.
  • E. Fontenais
    Fontenais is a municipality in the canton of Jura in northwestern Switzerland, situated in the Ajoie region near the town of Porrentruy.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded076ac9c8190a05cabec5e87d207 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fc8cdc8190a142a2a3ef889e72 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:52 a.m.