Triple
T11260919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1986 Commonwealth Games |
E266555
|
entity |
| Predicate | boycottingRegions |
P98790
|
FINISHED |
| Object | many African nations |
—
|
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: many African nations | Statement: [1986 Commonwealth Games, boycottingRegions, many African nations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boycottingRegions Context triple: [1986 Commonwealth Games, boycottingRegions, many African nations]
-
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.
boycottTarget
Indicates that an entity is the object or focus of a boycott by another entity.
-
C.
boycottingNationsCount
Indicates the number of nations that are actively participating in a boycott against a particular target.
-
D.
boycottType
Indicates the specific category or form of boycott involved in the relationship or action.
-
E.
reasonForBoycott
Indicates that one entity is the cause, motive, or justification for another entity’s decision to initiate or participate in a boycott.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94c066c8190be1e032eb328e5fe |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:31 p.m.