Triple
T22811646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Development Indicators |
E564692
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | WDI |
—
|
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: WDI | Statement: [World Development Indicators, hasAbbreviation, WDI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WDI Context triple: [World Development Indicators, hasAbbreviation, WDI]
-
A.
WDI
chosen
WDI is the commonly used abbreviation for the World Bank’s World Development Indicators, a comprehensive database of global development statistics.
-
B.
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.
-
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.
NIIT
NIIT is an Indian multinational skills and talent development company best known for its IT and education training services.
-
E.
WDS
WDS is the IATA airport code for Shiyan Wudangshan Airport, a regional airport serving the Shiyan and Wudangshan area in Hubei, China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d60f5948190b624b2dab04cbe63 |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.