Triple
T2399884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1980 Summer Olympics |
E47740
|
entity |
| Predicate | boycottType |
P37945
|
FINISHED |
| Object | partial boycott of the Games |
—
|
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: partial boycott of the Games | Statement: [1980 Summer Olympics, boycottType, partial boycott of the Games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boycottType Context triple: [1980 Summer Olympics, boycottType, partial boycott of the Games]
-
A.
boycottingNation
Indicates that one nation is refusing to engage in normal relations, trade, or cooperation with another nation as an act of protest or pressure.
-
B.
boycottLedBy
Indicates that a boycott is organized, initiated, or directed by a particular entity.
-
C.
reasonForBoycott
Indicates that one entity is the cause, motive, or justification for another entity’s decision to initiate or participate in a boycott.
-
D.
boycottingNationsCount
Indicates the number of nations that are actively participating in a boycott against a particular target.
-
E.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
- F. None of above. chosen
Provenance (4 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8c95d8c819088e4bb4fb32452ae |
completed | March 7, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69abc5a3825c81909ec6111dfc165453 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc664317c8190a6bb5a5065c21bde |
completed | March 7, 2026, 6:32 a.m. |
Created at: March 4, 2026, 7:57 p.m.