Triple
T377032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1984 Summer Olympics |
E8393
|
entity |
| Predicate | boycottReason |
P7622
|
FINISHED |
| Object | retaliation for U.S.-led boycott of 1980 Moscow Olympics |
—
|
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: retaliation for U.S.-led boycott of 1980 Moscow Olympics | Statement: [1984 Summer Olympics, boycottReason, retaliation for U.S.-led boycott of 1980 Moscow Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boycottReason Context triple: [1984 Summer Olympics, boycottReason, retaliation for U.S.-led boycott of 1980 Moscow Olympics]
-
A.
cancellationReason
chosen
Indicates the reason or cause for which a previously scheduled or planned action, event, or agreement was canceled.
-
B.
reasonForDecline
Indicates the explanation or cause given for why something was rejected, reduced, or not accepted.
-
C.
selectionReason
Indicates the reason or justification for choosing or selecting one entity over alternatives.
-
D.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
E.
reasonWritten
Indicates that one entity is the reason or motivation for which another entity was written or authored.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec1804108190a1e94526b71289ea |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e96351cc8190a55adf95f8c27e9e |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.