Triple
T24269882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilshire 5000 Total Market Index |
E605248
|
entity |
| Predicate | indexWeighting |
P6679
|
FINISHED |
| Object | market capitalization-weighted |
—
|
LITERAL 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: market capitalization-weighted | Statement: [Wilshire 5000 Total Market Index, indexWeighting, market capitalization-weighted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indexWeighting Context triple: [Wilshire 5000 Total Market Index, indexWeighting, market capitalization-weighted]
-
A.
associatedIndexWeightEntity
Indicates a relationship where an index is linked to a specific weight entity that quantifies or influences its value or behavior.
-
B.
indexed
Indicates that one entity is organized, recorded, or referenced within a systematic index or catalog relative to another entity.
-
C.
sectorWeighting
Indicates the proportion or emphasis assigned to a particular sector within a broader portfolio, index, or classification.
-
D.
indexType
Indicates the classification or category of an index associated with an entity or structure.
-
E.
weightingMethod
chosen
Indicates how relative importance or influence is assigned to elements within a set, such as criteria, features, or data points, in a calculation or decision process.
- 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d58666881909f28f4d4f0f7d590 |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.