Triple

T16375221
Position Surface form Disambiguated ID Type / Status
Subject We Like It Here E397661 entity
Predicate followedBy P78 FINISHED
Object Sylva
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.
E1210532 NE FINISHED

How this triple was built (4 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: [We Like It Here, followedBy, Sylva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylva
Context triple: [We Like It Here, followedBy, Sylva]
  • A. 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.
  • B. Wrockwardine Wood
    Wrockwardine Wood is a residential area and former mining community in Telford, Shropshire, England.
  • C. Hammerwood
    Hammerwood is a small rural locality in East Sussex, England, known for its countryside setting and proximity to regional routes.
  • D. 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.
  • E. Firswood
    Firswood is a suburban residential area in Trafford, Greater Manchester, England, served by the Manchester Metrolink network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sylva
Triple: [We Like It Here, followedBy, Sylva]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sylva
Target entity description: 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.
  • A. 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.
  • B. Wrockwardine Wood
    Wrockwardine Wood is a residential area and former mining community in Telford, Shropshire, England.
  • C. Hammerwood
    Hammerwood is a small rural locality in East Sussex, England, known for its countryside setting and proximity to regional routes.
  • D. 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.
  • E. Firswood
    Firswood is a suburban residential area in Trafford, Greater Manchester, England, served by the Manchester Metrolink network.
  • F. None of above. chosen

Provenance (5 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_6a003561f83481909223c99bb83ebdf4 completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a0036f14bfc81909ea14a333c296187 completed May 10, 2026, 7:42 a.m.
NED2 Entity disambiguation (via description) batch_6a003785b9d881908049867524345e06 completed May 10, 2026, 7:45 a.m.
Created at: April 10, 2026, 5:08 a.m.