Triple

T7152717
Position Surface form Disambiguated ID Type / Status
Subject Coppins, Iver, Buckinghamshire E166730 entity
Predicate locatedIn P40 FINISHED
Object Iver E506887 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: [Coppins, Iver, Buckinghamshire, locatedIn, Iver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iver
Context triple: [Coppins, Iver, Buckinghamshire, locatedIn, Iver]
  • A. Iver chosen
    Iver is a masculine given name of Norse origin, closely related to the name Ivar and used in various Scandinavian and Germanic countries.
  • B. 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.
  • C. Sauarelva
    Sauarelva is a river in Telemark, Norway, that serves as a tributary feeding into the lake Norsjø.
  • D. Rissne
    Rissne is a residential district and urban area in the Stockholm metropolitan region of Sweden, known for its mix of apartment housing and proximity to public transit.
  • E. Vasagatan
    Vasagatan is a major central street in Stockholm, Sweden, known for its busy traffic, shops, and proximity to Stockholm Central Station.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f52c1081908c4fa424d5e965bc completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adad45208190a8e09173a4d26591 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:46 p.m.