Triple

T30334513
Position Surface form Disambiguated ID Type / Status
Subject Blitmap E771578 entity
Predicate hasIntellectualProperty P35397 FINISHED
Object Blitmap universe
The Blitmap universe is a collaborative, pixel-art-driven fictional world and narrative setting that underpins the Blitmap NFT project and its expanding community-created lore.
E1910487 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: Blitmap universe | Statement: [Blitmap, hasIntellectualProperty, Blitmap universe]
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: Blitmap universe
Triple: [Blitmap, hasIntellectualProperty, Blitmap universe]
Generated description
The Blitmap universe is a collaborative, pixel-art-driven fictional world and narrative setting that underpins the Blitmap NFT project and its expanding community-created lore.

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_69f2248aba24819095bb86480d55b23b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f681cba8108190b616382ffb430ff7 completed May 2, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a277c1fe31c8190825bcba3878cf3d5 completed June 9, 2026, 2:36 a.m.
NEDg Description generation batch_6a277cefc06881909023e8a019d6395a completed June 9, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_6a277dac3814819086f5f3efc1a79349 completed June 9, 2026, 2:42 a.m.
Created at: April 29, 2026, 7:54 p.m.