Triple
T22811628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Development Indicators |
E564692
|
entity |
| Predicate | includesDataFor |
P86949
|
FINISHED |
| Object | countries |
—
|
LITERAL FINISHED |
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: countries | Statement: [World Development Indicators, includesDataFor, countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesDataFor Context triple: [World Development Indicators, includesDataFor, countries]
-
A.
containsDataAbout
chosen
Indicates that one entity holds or includes information or records pertaining to another entity.
-
B.
dataIncluded
Indicates that one data item or dataset contains, incorporates, or subsumes another as part of its contents.
-
C.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
-
D.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
E.
usesDataIn
Indicates that one entity relies on, accesses, or incorporates data from another entity in performing its function or operation.
- F. None of above.
Provenance (3 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. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:32 p.m.