Triple
T24269661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P Global Broad Market Index Series |
E605240
|
entity |
| Predicate | providerBrand |
P155392
|
FINISHED |
| Object | S&P Global |
—
|
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: S&P Global | Statement: [S&P Global Broad Market Index Series, providerBrand, S&P Global]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providerBrand Context triple: [S&P Global Broad Market Index Series, providerBrand, S&P Global]
-
A.
issuerBrandName
Indicates the brand name associated with the entity that issues a product, document, or instrument.
-
B.
serviceBrand
Indicates that one entity is the brand under which a particular service is offered or marketed by another entity.
-
C.
issuerBrandPortfolioIncludes
Indicates that an issuer’s overall brand portfolio contains or encompasses a particular brand.
-
D.
operatorBrandNameFor
Indicates that a given brand name is used as the commercial or public-facing name for a particular operator.
-
E.
cardBackBrand
Indicates the brand associated with the back side of a card.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:07 a.m.