Triple

T31611005
Position Surface form Disambiguated ID Type / Status
Subject MSCI USA Value Index E806624 entity
Predicate dataSource P409 FINISHED
Object MSCI equity universe
The MSCI equity universe is a comprehensive global set of stocks that serves as the foundational pool from which MSCI constructs its various equity indices.
E805165 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: MSCI equity universe | Statement: [MSCI USA Value Index, dataSource, MSCI equity 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: MSCI equity universe
Triple: [MSCI USA Value Index, dataSource, MSCI equity universe]
Generated description
The MSCI equity universe is a comprehensive global set of stocks that serves as the foundational pool from which MSCI constructs its various equity indices.

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_69f348d61f2081908cad94bc9ffbb671 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a873357481909a3499827e927cda completed May 3, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b5660baa0819081067b43a1f3c330 completed June 12, 2026, 12:44 a.m.
NEDg Description generation batch_6a2b576541208190a52a5eaecf8962c8 completed June 12, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_6a2b601da44481908fca8a5331ba5b38 completed June 12, 2026, 1:25 a.m.
Created at: April 30, 2026, 10:36 p.m.