Triple

T17180830
Position Surface form Disambiguated ID Type / Status
Subject Vale of Leven E416976 entity
Predicate hasTown P847 FINISHED
Object Renton E572429 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: Renton | Statement: [Vale of Leven, hasTown, Renton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renton
Context triple: [Vale of Leven, hasTown, Renton]
  • A. Renton
    Renton is a suburban city in Washington State located just southeast of Seattle, known for its Boeing facilities and position at the south end of Lake Washington.
  • B. Renton chosen
    Renton is a small town in West Dunbartonshire, Scotland, situated on the River Leven between Dumbarton and Alexandria.
  • C. Tukwila
    Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
  • D. Kirkland
    Kirkland is a suburban city on the eastern shore of Lake Washington in Washington State, known for its waterfront parks, vibrant downtown, and role as part of the Seattle metropolitan area.
  • E. Kirkland
    Kirkland is a surname most notably associated with American ballerina Gelsey Kirkland.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc1187808190aeaa0d0e6487957e completed April 18, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fca04cc8190a9df230078fbe268 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.