Triple
T9651421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russell Global Small Cap Index |
E233342
|
entity |
| Predicate | hasConstituentSizeSegment |
P2563
|
FINISHED |
| Object | small 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: small capitalization | Statement: [Russell Global Small Cap Index, hasConstituentSizeSegment, small capitalization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConstituentSizeSegment Context triple: [Russell Global Small Cap Index, hasConstituentSizeSegment, small capitalization]
-
A.
hasSegmentOn
Indicates that one entity includes or occupies a specific segment or portion on another entity (such as a line, path, or sequence).
-
B.
hasSegmentType
chosen
Indicates that an entity is associated with, or classified by, a particular type or category of segment within a larger structure or sequence.
-
C.
hasMultipleSegments
Indicates that the referenced entity is composed of more than one distinct segment or section.
-
D.
hasNonConstituentMember
Indicates that an entity includes a member or component that is not formally recognized as a constituent part of it.
-
E.
hasTypicalSegmentNumber
Indicates that an entity is characterized by a usual or standard number of segments it possesses.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9baf9a1c819098c407ea7d42e6d1 |
completed | April 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b0263081908cf6df3eb07d71b0 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:13 p.m.