Triple

T20314985
Position Surface form Disambiguated ID Type / Status
Subject Reading urban area E510355 entity
Predicate hasSettlement P1068 FINISHED
Object Caversham 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: Caversham | Statement: [Reading urban area, hasSettlement, Caversham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caversham
Context triple: [Reading urban area, hasSettlement, Caversham]
  • A. Caversham chosen
    Caversham is a suburban area of Reading in Berkshire, England, known for its riverside setting on the north bank of the River Thames.
  • B. Caversham
    Caversham is a suburb in Perth, Western Australia, known for its semi-rural character, wineries, and proximity to the Swan Valley wine region.
  • C. Caversham Park
    Caversham Park is a historic English country house and estate near Reading, Berkshire, known for its 19th-century mansion and later use as a major BBC broadcasting centre.
  • D. Calder Vale
    Calder Vale is a small rural village in Lancashire, England, known for its historic mill and picturesque setting in the Forest of Bowland.
  • E. Parrs Wood
    Parrs Wood is an area in south Manchester, England, known for its large entertainment and leisure complex and the historic Parrs Wood High School.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67786f4dc8190b02a6c2a4338362d completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:19 a.m.