DJTA
E588931
DJTA is a U.S. stock market index that tracks the performance of major transportation companies such as airlines, railroads, and trucking firms.
All labels observed (1)
| Label | Occurrences |
|---|---|
| DJTA canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6373012 — 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: DJTA Context triple: [Dow Jones Transportation Average, abbreviation, DJTA]
-
A.
DBE
DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
-
B.
WDI
WDI is the commonly used abbreviation for the World Bank’s World Development Indicators, a comprehensive database of global development statistics.
-
C.
School of Data
School of Data is an educational initiative that helps people and organizations develop practical data literacy and data skills, particularly for civic and social impact.
-
D.
jdb
jdb is the command-line debugger for Java programs that comes bundled with the Oracle JDK.
-
E.
Code for America
Code for America is a nonprofit organization that partners with governments to improve public services through user-centered design, open-source technology, and civic tech innovation.
- 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: DJTA Target entity description: DJTA is a U.S. stock market index that tracks the performance of major transportation companies such as airlines, railroads, and trucking firms.
-
A.
DBE
DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
-
B.
WDI
WDI is the commonly used abbreviation for the World Bank’s World Development Indicators, a comprehensive database of global development statistics.
-
C.
School of Data
School of Data is an educational initiative that helps people and organizations develop practical data literacy and data skills, particularly for civic and social impact.
-
D.
jdb
jdb is the command-line debugger for Java programs that comes bundled with the Oracle JDK.
-
E.
Code for America
Code for America is a nonprofit organization that partners with governments to improve public services through user-centered design, open-source technology, and civic tech innovation.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
U.S. stock market index
ⓘ
stock market index ⓘ |
| abbreviation | DJTA ⓘ |
| alsoKnownAs |
Dow Jones Transport Average
NERFINISHED
ⓘ
Dow Jones Transports NERFINISHED ⓘ |
| assetClass | equities ⓘ |
| calculationMethod | price-weighted index ⓘ |
| category | transportation index ⓘ |
| componentCount | 20 ⓘ |
| componentSelectionCriteria |
industry representation
ⓘ
liquidity ⓘ major U.S. transportation companies ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| currency | US dollar ⓘ |
| dataVendor |
NASDAQ
NERFINISHED
ⓘ
NYSE NERFINISHED ⓘ various financial data providers ⓘ |
| dataVendorCode | ^DJT ⓘ |
| exchangeListingRequirement | listed on major U.S. stock exchanges ⓘ |
| family | Dow Jones Averages NERFINISHED ⓘ |
| foundedBy |
Charles Dow
NERFINISHED
ⓘ
Edward Jones NERFINISHED ⓘ |
| fullName | Dow Jones Transportation Average NERFINISHED ⓘ |
| historicalSignificance | oldest U.S. stock market index still in use ⓘ |
| includesIndustry |
airlines
ⓘ
delivery services ⓘ logistics ⓘ marine transportation ⓘ railroads ⓘ trucking ⓘ |
| isBenchmarkFor |
transportation sector funds
ⓘ
transportation-focused ETFs ⓘ |
| launchDate | 1884-07-03 ⓘ |
| maintainedBy | S&P Dow Jones Indices NERFINISHED ⓘ |
| numberOfConstituents | 20 ⓘ |
| originalPublisher | Dow Jones & Company NERFINISHED ⓘ |
| publisher | S&P Dow Jones Indices NERFINISHED ⓘ |
| regionCovered | primarily United States ⓘ |
| relatedIndex |
Dow Jones Industrial Average
NERFINISHED
ⓘ
Dow Jones Utility Average NERFINISHED ⓘ |
| sectorFocus | transportation ⓘ |
| timeZoneForCalculation | Eastern Time NERFINISHED ⓘ |
| trackedMarket | U.S. equity market ⓘ |
| tradingDays | U.S. stock market business days ⓘ |
| usedFor |
Dow Theory analysis
ⓘ
gauging performance of U.S. transportation sector ⓘ |
| weightingScheme | price-weighted ⓘ |
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: DJTA Description of subject: DJTA is a U.S. stock market index that tracks the performance of major transportation companies such as airlines, railroads, and trucking firms.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.