Triple
T24269902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilshire 5000 Total Market Index |
E605248
|
entity |
| Predicate | excludesSecurityType |
P120950
|
FINISHED |
| Object | closed-end funds |
—
|
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: closed-end funds | Statement: [Wilshire 5000 Total Market Index, excludesSecurityType, closed-end funds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: excludesSecurityType Context triple: [Wilshire 5000 Total Market Index, excludesSecurityType, closed-end funds]
-
A.
securityTypeListed
Indicates that a security is officially listed and traded on a recognized exchange or trading venue.
-
B.
securityTypePermitted
Indicates that a particular type or category of security is allowed or authorized within a given context or system.
-
C.
excludedFrom
Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
-
D.
excludesConstruct
chosen
Indicates that one entity explicitly omits, leaves out, or does not incorporate a particular construct in its definition, composition, or scope.
-
E.
excludesMode
Indicates that one mode, option, or operational state is defined as incompatible with and therefore prevents the use of another mode.
- 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.