Triple
T18992866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo 2020 Dubai organizers |
E464732
|
entity |
| Predicate | adjustedDueTo |
P112148
|
FINISHED |
| Object | COVID-19 pandemic |
—
|
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: COVID-19 pandemic | Statement: [Expo 2020 Dubai organizers, adjustedDueTo, COVID-19 pandemic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjustedDueTo Context triple: [Expo 2020 Dubai organizers, adjustedDueTo, COVID-19 pandemic]
-
A.
endedDueTo
Indicates that an event, process, or state came to a conclusion specifically because of a particular cause or condition.
-
B.
adjustsFor
chosen
Indicates that one entity modifies, compensates, or accounts for the effects of another entity to achieve a corrected or normalized result.
-
C.
notAdjustedFor
Indicates that a value, measure, or result has not been modified or corrected to account for certain factors, conditions, or variables.
-
D.
acceptedDueTo
Indicates that one entity is approved, admitted, or received as a result of another specific reason, condition, or cause.
-
E.
penaltiesAdjustedBy
Indicates that one entity’s penalties are modified, recalculated, or otherwise changed as a result of another entity’s influence or action.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d67eedc88190bfb7b327b47db76d |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.