Triple

T5020019
Position Surface form Disambiguated ID Type / Status
Subject Cornwall E112827 entity
Predicate containsSite P5003 FINISHED
Object Tamar Valley E342577 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: Tamar Valley | Statement: [Cornwall, containsSite, Tamar Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamar Valley
Context triple: [Cornwall, containsSite, Tamar Valley]
  • A. Tamar Valley chosen
    Tamar Valley is a scenic river valley in southwest England known for its picturesque landscapes, historic mining heritage, and rich biodiversity.
  • B. Tamar Valley
    Tamar Valley is a scenic alpine valley in northwestern Slovenia, known for its dramatic mountain landscapes, hiking trails, and proximity to the resort town of Kranjska Gora.
  • C. Chew Valley
    Chew Valley is a rural area in North Somerset, England, known for its scenic countryside, reservoir, and views from the surrounding hills.
  • D. Aire Valley
    Aire Valley is a scenic valley in North Yorkshire, England, shaped by the River Aire and known for its rural landscapes, historic towns, and role as a key transport corridor.
  • E. Wear Valley
    Wear Valley is a district in County Durham, England, characterized by its rural landscapes, former mining communities, and the course of the River Wear running through it.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7342c62881909acb35849da8761c completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be927f4ad0819096826f6cb141c90b completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:36 p.m.