Triple
T31611015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSCI USA Value Index |
E806624
|
entity |
| Predicate | hasBenchmarkCountry |
P846
|
FINISHED |
| Object | United States of America |
—
|
NE NERFINISHED |
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: United States of America | Statement: [MSCI USA Value Index, hasBenchmarkCountry, United States of America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBenchmarkCountry Context triple: [MSCI USA Value Index, hasBenchmarkCountry, United States of America]
-
A.
hasCountry
chosen
Indicates that one entity possesses, is associated with, or is located within a specific country.
-
B.
hasCountryType
Indicates that an entity is associated with or classified under a specific type or category of country.
-
C.
hasCountryElement
Indicates that something includes, contains, or is composed of one or more country-related components or parts.
-
D.
hasCountryContext
Indicates that something is associated with, interpreted within, or relevant to a specific country or national context.
-
E.
supportsCountry
Indicates that one entity provides assistance, endorsement, or backing to a specific country.
- F. None of above.
Provenance (3 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_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 30, 2026, 10:36 p.m.