Triple
T31611007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSCI USA Value Index |
E806624
|
entity |
| Predicate | hasOppositeStyleIndex |
P139031
|
FINISHED |
| Object | MSCI USA Growth Index |
—
|
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: MSCI USA Growth Index | Statement: [MSCI USA Value Index, hasOppositeStyleIndex, MSCI USA Growth Index]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOppositeStyleIndex Context triple: [MSCI USA Value Index, hasOppositeStyleIndex, MSCI USA Growth Index]
-
A.
hasStyleIndex
Indicates that an entity is associated with a particular style identified by a specific index or position.
-
B.
hasOppositeView
Indicates that one entity holds a view or opinion that is directly opposed to that of another entity.
-
C.
hasOppositeComponent
chosen
Indicates that one component is related to another as its opposite or contrasting counterpart within a system or structure.
-
D.
hasOppositeStructure
Indicates that one entity possesses a structure that is the inverse or opposite in form, arrangement, or organization relative to another entity.
-
E.
hasOppositeStatus
Indicates that two entities hold directly contrasting or mutually exclusive statuses within a given context.
- 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_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 30, 2026, 10:36 p.m.