Triple

T16375343
Position Surface form Disambiguated ID Type / Status
Subject Culcha Vulcha E397664 entity
Predicate follows P134 FINISHED
Object Sylva E1210532 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: Sylva | Statement: [Culcha Vulcha, follows, Sylva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylva
Context triple: [Culcha Vulcha, follows, Sylva]
  • A. Sylva chosen
    Sylva is a 2015 jazz fusion album by Snarky Puppy in collaboration with the Metropole Orkest, noted for its lush, orchestral arrangements and nature-inspired themes.
  • B. Forest of Dean
    The Forest of Dean is an ancient woodland and historic royal forest in western England, renowned for its rich wildlife, mining heritage, and scenic walking and cycling trails.
  • C. Wrockwardine Wood
    Wrockwardine Wood is a residential area and former mining community in Telford, Shropshire, England.
  • D. Hammerwood
    Hammerwood is a small rural locality in East Sussex, England, known for its countryside setting and proximity to regional routes.
  • E. Sidmouth Wood
    Sidmouth Wood is a wooded area in Richmond Park, London, known for its natural woodland habitat and proximity to the historic viewpoint of King Henry’s Mound.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319d6942081909616a2c6efee9967 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c522a7c8190a306b85354a087fd completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:08 a.m.