Triple

T1149712
Position Surface form Disambiguated ID Type / Status
Subject Ambleside E23647 entity
Predicate postalTown P2711 FINISHED
Object AMBLESIDE E23647 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: AMBLESIDE | Statement: [Ambleside, postalTown, AMBLESIDE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMBLESIDE
Context triple: [Ambleside, postalTown, AMBLESIDE]
  • A. Ambleside chosen
    Ambleside is a popular town in England’s Lake District, known as a base for walking, boating on nearby Lake Windermere, and exploring the surrounding fells.
  • B. Asthall
    Asthall is a small historic village in Oxfordshire, England, known for its Cotswold stone architecture and association with the Mitford family.
  • C. Godalming
    Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
  • D. Aywick
    Aywick is a small coastal settlement on the island of Yell in Shetland, Scotland.
  • E. Shardlow
    Shardlow is a historic village in Derbyshire, England, known for its canal heritage and role as an important inland port during the industrial era.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc730b008190bd0901e0a47a4b7a completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eb5d36c8190916a43a5f41df144 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:44 p.m.