Triple
T30989343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qatar–Saudi Arabia relations |
E789622
|
entity |
| Predicate | blockadeMeasures |
P47357
|
FINISHED |
| Object | air blockade |
—
|
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: air blockade | Statement: [Qatar–Saudi Arabia relations, blockadeMeasures, air blockade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blockadeMeasures Context triple: [Qatar–Saudi Arabia relations, blockadeMeasures, air blockade]
-
A.
blockadeType
chosen
Indicates the specific kind or category of blockade involved in the relationship or action.
-
B.
blockadeImpact
Indicates the effect or consequences that a blockade has on the targeted entities or systems.
-
C.
blockadedIn
Indicates that one entity is prevented or obstructed by another from entering, leaving, or accessing a particular place or resource.
-
D.
blockadedBy
Indicates that an entity is prevented from access, movement, or operation by another entity imposing a blockade.
-
E.
coastalDefense
Indicates a defensive relationship in which structures, systems, or actions are used to protect a coastline or shore area from threats such as erosion, flooding, or attack.
- 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_69f224c550b081909ddfceb0c3d03bdd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 29, 2026, 8:56 p.m.