Triple

T29386705
Position Surface form Disambiguated ID Type / Status
Subject Snufkin E745272 entity
Predicate returnsTo P45021 FINISHED
Object Moominvalley in spring
Moominvalley in spring is the idyllic, thawing valley from Tove Jansson’s Moomin stories, depicted as a place of renewal, adventure, and the joyful return of wandering friends.
E1877133 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: Moominvalley in spring | Statement: [Snufkin, returnsTo, Moominvalley in spring]
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: Moominvalley in spring
Triple: [Snufkin, returnsTo, Moominvalley in spring]
Generated description
Moominvalley in spring is the idyllic, thawing valley from Tove Jansson’s Moomin stories, depicted as a place of renewal, adventure, and the joyful return of wandering friends.

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_69f0a79cfd5481909b4dde750cb8d2c6 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f669d2e5a8819094096c2affe7def7 completed May 2, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a266148317c8190ac4edb1d1df42289 completed June 8, 2026, 6:29 a.m.
NEDg Description generation batch_6a2665a18cdc819085edf38c5b97f863 completed June 8, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_6a266b5c5f308190a49fa8399a76ad96 completed June 8, 2026, 7:12 a.m.
Created at: April 28, 2026, 2:39 p.m.