Triple
T23398695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1980 Summer Olympics basketball tournament |
E559435
|
entity |
| Predicate | boycottContext |
P36706
|
FINISHED |
| Object | protest against Soviet invasion of Afghanistan |
—
|
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: protest against Soviet invasion of Afghanistan | Statement: [1980 Summer Olympics basketball tournament, boycottContext, protest against Soviet invasion of Afghanistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boycottContext Context triple: [1980 Summer Olympics basketball tournament, boycottContext, protest against Soviet invasion of Afghanistan]
-
A.
boycottType
Indicates the specific category or form of boycott involved in the relationship or action.
-
B.
boycotts
Indicates that one party deliberately refuses to buy from, participate in, or engage with another as a form of protest or pressure.
-
C.
boycottTarget
Indicates that an entity is the object or focus of a boycott by another entity.
-
D.
reasonForBoycott
chosen
Indicates that one entity is the cause, motive, or justification for another entity’s decision to initiate or participate in a boycott.
-
E.
boycottOccurredIn
Indicates that a boycott event took place within a specific location or geopolitical area.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4ddcb9481909881c77458c59c83 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:37 p.m.