Triple

T31104677
Position Surface form Disambiguated ID Type / Status
Subject House Corrino E792761 entity
Predicate governmentSeat P761 FINISHED
Object Imperial Palace on Kaitain
The Imperial Palace on Kaitain is the grand, opulent stronghold and administrative center of the Padishah Emperors in Frank Herbert’s Dune universe.
E1947828 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: Imperial Palace on Kaitain | Statement: [House Corrino, governmentSeat, Imperial Palace on Kaitain]
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: Imperial Palace on Kaitain
Triple: [House Corrino, governmentSeat, Imperial Palace on Kaitain]
Generated description
The Imperial Palace on Kaitain is the grand, opulent stronghold and administrative center of the Padishah Emperors in Frank Herbert’s Dune universe.

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_69f224cfd5d881908ec6447bc321cd58 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f696ae7b608190971a2567d60600b0 completed May 3, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2938af1c0c8190abdcc6a09d84123a completed June 10, 2026, 10:13 a.m.
NEDg Description generation batch_6a293d14cc5481908d80baaaac445120 completed June 10, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_6a293e1791c881909b053fc97cc79295 completed June 10, 2026, 10:36 a.m.
Created at: April 29, 2026, 9:03 p.m.