Triple
T6039629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Development Indicators |
E134511
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object |
WDI
WDI is the commonly used abbreviation for the World Bank’s World Development Indicators, a comprehensive database of global development statistics.
|
E564692
|
NE FINISHED |
How this triple was built (4 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: WDI | Statement: [World Development Indicators, acronym, WDI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WDI Context triple: [World Development Indicators, acronym, WDI]
-
A.
DWDP
DWDP was the stock ticker symbol for DowDuPont Inc., the large American chemical conglomerate formed by the merger of Dow Chemical and DuPont before its subsequent breakup into separate companies.
-
B.
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.
-
C.
NIIT
NIIT is an Indian multinational skills and talent development company best known for its IT and education training services.
-
D.
SWE
SWE is the three-letter ISO 3166-1 alpha-3 country code representing Sweden.
-
E.
WSDC
WSDC is the commonly used abbreviation for the World Single Distances Speed Skating Championships, an international competition where elite speed skaters race specific distances for world titles.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WDI Triple: [World Development Indicators, acronym, WDI]
Generated description
WDI is the commonly used abbreviation for the World Bank’s World Development Indicators, a comprehensive database of global development statistics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WDI Target entity description: WDI is the commonly used abbreviation for the World Bank’s World Development Indicators, a comprehensive database of global development statistics.
-
A.
DWDP
DWDP was the stock ticker symbol for DowDuPont Inc., the large American chemical conglomerate formed by the merger of Dow Chemical and DuPont before its subsequent breakup into separate companies.
-
B.
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.
-
C.
NIIT
NIIT is an Indian multinational skills and talent development company best known for its IT and education training services.
-
D.
SWE
SWE is the three-letter ISO 3166-1 alpha-3 country code representing Sweden.
-
E.
WSDC
WSDC is the commonly used abbreviation for the World Single Distances Speed Skating Championships, an international competition where elite speed skaters race specific distances for world titles.
- F. None of above. chosen
Provenance (5 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056ce10cc8190817ade56570adc92 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11393f4ec81909f175de55694b44e |
completed | March 23, 2026, 10:19 a.m. |
| NEDg | Description generation | batch_69c11560824081909d1228056607a3bd |
completed | March 23, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11607805c8190a9bc734479b1cb8d |
completed | March 23, 2026, 10:29 a.m. |
Created at: March 22, 2026, 4:08 p.m.