Triple

T26903392
Position Surface form Disambiguated ID Type / Status
Subject California Unemployment Insurance Code E678087 entity
Predicate abbreviation P43 FINISHED
Object CUIC
CUIC is the standard abbreviation for the California Unemployment Insurance Code, the body of state law governing unemployment insurance and related employment benefits in California.
E1746783 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: CUIC | Statement: [California Unemployment Insurance Code, abbreviation, CUIC]
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: CUIC
Triple: [California Unemployment Insurance Code, abbreviation, CUIC]
Generated description
CUIC is the standard abbreviation for the California Unemployment Insurance Code, the body of state law governing unemployment insurance and related employment benefits in California.

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_69eee9befee48190a26f214faa867be7 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61fb127c481908bc480561194a264 completed May 2, 2026, 4 p.m.
NED1 Entity disambiguation (via context triple) batch_6a121eaa66688190afb61b4865d8a86d completed May 23, 2026, 9:39 p.m.
NEDg Description generation batch_6a121fcbbfa88190920877882c038ac8 completed May 23, 2026, 9:44 p.m.
NED2 Entity disambiguation (via description) batch_6a12205e89f4819098a8901d520e9c7d completed May 23, 2026, 9:47 p.m.
Created at: April 27, 2026, 5:52 a.m.