Triple

T29189907
Position Surface form Disambiguated ID Type / Status
Subject Cato Neimoidia E739962 entity
Predicate locatedIn P40 FINISHED
Object Cato Neimoidia system
The Cato Neimoidia system is a star system in the Star Wars galaxy that contains the wealthy Neimoidian colony world of Cato Neimoidia, known for its bridge cities and strategic importance.
E1853944 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: Cato Neimoidia system | Statement: [Cato Neimoidia, locatedIn, Cato Neimoidia system]
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: Cato Neimoidia system
Triple: [Cato Neimoidia, locatedIn, Cato Neimoidia system]
Generated description
The Cato Neimoidia system is a star system in the Star Wars galaxy that contains the wealthy Neimoidian colony world of Cato Neimoidia, known for its bridge cities and strategic importance.

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_69f07cb8033c8190b8807e219a14333d completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f66389a3a081908869b3ff201ec305 completed May 2, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a255083d3888190b44fa696b4f5bc68 completed June 7, 2026, 11:05 a.m.
NEDg Description generation batch_6a255bb68c9081909cec212dec2f3ae0 completed June 7, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a255f8135108190952d2c33576de3c5 completed June 7, 2026, 12:09 p.m.
Created at: April 28, 2026, 12:01 p.m.