Triple

T14633495
Position Surface form Disambiguated ID Type / Status
Subject Calstock E343540 entity
Predicate locatedInValley P40 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: [Calstock, locatedInValley, Tamar Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamar Valley
Context triple: [Calstock, locatedInValley, 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. Tamar Valley
    Tamar Valley is a scenic river valley in northern Tasmania known for its vineyards, orchards, and picturesque rural landscapes.
  • D. Chew Valley
    Chew Valley is a rural area in North Somerset, England, known for its scenic countryside, reservoir, and views from the surrounding hills.
  • E. 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.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aa7cb48190b008bd6b0e162c89 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde16e85488190b0dcc2ccd2f5df4d completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:26 a.m.