Triple

T12611555
Position Surface form Disambiguated ID Type / Status
Subject South Bucks (historic) E301135 entity
Predicate containsSettlement P847 FINISHED
Object Iver E847589 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: Iver | Statement: [South Bucks (historic), containsSettlement, Iver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iver
Context triple: [South Bucks (historic), containsSettlement, Iver]
  • A. Iver
    Iver is a masculine given name of Norse origin, closely related to the name Ivar and used in various Scandinavian and Germanic countries.
  • B. Iver chosen
    Iver is a village and civil parish in Buckinghamshire, England, situated near the western edge of Greater London.
  • C. Isker
    Isker was the historic capital city of the Siberian Khanate, serving as its main political and administrative center in western Siberia.
  • D. Vesle
    The Vesle is a river in northeastern France that flows through the Champagne region and was a significant geographic feature during World War I battles.
  • E. Avre
    The Avre is a river in northern France that serves as a tributary of the Eure, flowing through the Normandy and Centre-Val de Loire regions.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954ea1d748190a848e8a7873e2ea5 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ed1044c8190bbe881d32a4bf29e completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:11 p.m.