Triple
T22239432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DB1 |
E549679
|
entity |
| Predicate | hasIndexWeightingMethod |
P6679
|
FINISHED |
| Object | free-float market capitalization |
—
|
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: free-float market capitalization | Statement: [DB1, hasIndexWeightingMethod, free-float market capitalization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndexWeightingMethod Context triple: [DB1, hasIndexWeightingMethod, free-float market capitalization]
-
A.
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.
-
B.
hasIndexing
Indicates that one entity organizes, catalogs, or references another entity using an index or indexing system.
-
C.
associatedIndexWeightEntity
Indicates a relationship where an index is linked to a specific weight entity that quantifies or influences its value or behavior.
-
D.
hasIndex
Indicates that one entity serves as an index or positional reference for another entity within an ordered collection or structure.
-
E.
indexMethod
Indicates the method or technique used to create, organize, or access an index for a given resource or dataset.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132133b908190b0fb32a5ee68e1e6 |
completed | April 28, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:38 p.m.