SP100
E128509
SP100 is the ticker symbol used by data vendors to represent the S&P 100 stock market index, which tracks 100 major blue-chip U.S. companies.
All labels observed (1)
| Label | Occurrences |
|---|---|
| SP100 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1126886 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SP100 Context triple: [S&P 100, dataVendorCode, SP100]
-
A.
S-101
S-101 is the International Hydrographic Organization’s modern electronic navigational chart standard designed to support next-generation marine navigation systems.
-
B.
SPS
SPS is a high-energy circular particle accelerator at CERN that serves as a key injector for the Large Hadron Collider and supports a wide range of physics experiments.
-
C.
S-100
S-100 is a modern, universal hydrographic data model and framework used as the basis for next-generation electronic navigational charts and related marine geospatial products.
-
D.
Spontex
Spontex is a household cleaning products brand, best known for its sponges and related cleaning tools, owned by Newell Brands.
-
E.
SP
SP is the official aircraft registration prefix used to identify airplanes registered in Poland.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SP100 Target entity description: SP100 is the ticker symbol used by data vendors to represent the S&P 100 stock market index, which tracks 100 major blue-chip U.S. companies.
-
A.
S-101
S-101 is the International Hydrographic Organization’s modern electronic navigational chart standard designed to support next-generation marine navigation systems.
-
B.
SPS
SPS is a high-energy circular particle accelerator at CERN that serves as a key injector for the Large Hadron Collider and supports a wide range of physics experiments.
-
C.
S-100
S-100 is a modern, universal hydrographic data model and framework used as the basis for next-generation electronic navigational charts and related marine geospatial products.
-
D.
Spontex
Spontex is a household cleaning products brand, best known for its sponges and related cleaning tools, owned by Newell Brands.
-
E.
SP
SP is the official aircraft registration prefix used to identify airplanes registered in Poland.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
financial market identifier
ⓘ
stock market index ticker symbol ⓘ |
| assetClass | equities ⓘ |
| category | blue-chip index ⓘ |
| currency | US dollar ⓘ |
| dataContext |
financial terminals
ⓘ
market data feeds ⓘ trading platforms ⓘ |
| geographicFocus |
United States
ⓘ
linked to:
United States of America
|
| indexFamily | S&P Dow Jones Indices ⓘ |
| isSubsetOf |
S&P 500
ⓘ
linked to:
S&P 500 Index
|
| liquidityFocus | highly traded U.S. stocks ⓘ |
| market |
United States
ⓘ
linked to:
United States of America
|
| namingConvention | vendor-specific index ticker ⓘ |
| numberOfConstituents | 100 ⓘ |
| provider |
Standard & Poor's (via S&P Dow Jones Indices)
ⓘ
linked to:
Standard & Poor's
|
| refersTo | S&P 100 ⓘ |
| relatedIndex |
S&P 500
ⓘ
linked to:
S&P 500 Index
|
| relatedInstrumentType |
index futures
ⓘ
index options ⓘ |
| represents | S&P 100 stock market index ⓘ |
| sectorCoverage | multiple GICS sectors ⓘ |
| tracks |
100 major U.S. companies
ⓘ
large-cap U.S. stocks ⓘ |
| typicalUse |
market benchmark
ⓘ
performance measurement ⓘ underlying for derivatives ⓘ |
| underlyingConstituentsType | blue-chip U.S. companies ⓘ |
| underlyingIndexType | large-cap equity index ⓘ |
| usedBy | financial data vendors ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: SP100 Description of subject: SP100 is the ticker symbol used by data vendors to represent the S&P 100 stock market index, which tracks 100 major blue-chip U.S. companies.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.