Triple

T3513718
Position Surface form Disambiguated ID Type / Status
Subject Diggle E74255 entity
Predicate valley P650 FINISHED
Object Tame Valley E254278 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: Tame Valley | Statement: [Diggle, valley, Tame Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tame Valley
Context triple: [Diggle, valley, Tame Valley]
  • A. Tame Valley chosen
    Tame Valley is a geographical area in the English Midlands characterized by the course and surrounding landscape of the River Tame, including its associated towns, green spaces, and transport corridors.
  • B. Grose Valley
    Grose Valley is a vast, rugged sandstone gorge and wilderness area in Australia’s Blue Mountains, known for its dramatic cliffs, waterfalls, and bushwalking trails.
  • C. Clarence Valley
    Clarence Valley is a local government area in northern New South Wales, Australia, known for its rural towns, river systems, and coastal landscapes.
  • D. Warwick Valley
    Warwick Valley is a scenic region in Orange County, New York, known for its rural landscapes, orchards, and small historic communities.
  • E. Trent Valley
    Trent Valley is the low-lying floodplain and surrounding landscape shaped by the course of the River Trent in central England.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc2d0bf481909d1f19a87d147b63 completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e76c3a08190831402ff0c680196 completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.