Triple

T37592137
Position Surface form Disambiguated ID Type / Status
Subject Nephalem E935285 entity
Predicate homeWorld P4624 FINISHED
Object Sanctuary
Sanctuary is the mortal realm in the Diablo universe, a hidden world created by angels and demons as a refuge and birthplace of the powerful Nephalem.
E932564 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: Sanctuary | Statement: [Nephalem, homeWorld, Sanctuary]
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: Sanctuary
Triple: [Nephalem, homeWorld, Sanctuary]
Generated description
Sanctuary is the mortal realm in the Diablo universe, a hidden world created by angels and demons as a refuge and birthplace of the powerful Nephalem.

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_69f76ecf39c081909baffe597bb55273 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba8be7e1c819084874919eecdc02d completed May 6, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a412c948b088190a0f1055f92990947 completed June 28, 2026, 2:15 p.m.
NEDg Description generation batch_6a41480117dc8190a5eef619bdee912a completed June 28, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_6a4148a26e4081908de9f18e90d8b4ac completed June 28, 2026, 4:15 p.m.
Created at: May 3, 2026, 4:18 p.m.