Triple
T11148666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yemen–United States relations |
E263729
|
entity |
| Predicate | USInvolvementInConflict |
P88771
|
FINISHED |
| Object | support for Saudi-led coalition |
—
|
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: support for Saudi-led coalition | Statement: [Yemen–United States relations, USInvolvementInConflict, support for Saudi-led coalition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: USInvolvementInConflict Context triple: [Yemen–United States relations, USInvolvementInConflict, support for Saudi-led coalition]
-
A.
militaryConflictIn
Indicates that a military conflict takes place within, or is geographically located in, a specified area or region.
-
B.
USInvolvementEvent
chosen
Indicates an event in which the United States plays a direct or significant role, such as through political, military, economic, or diplomatic involvement.
-
C.
countryAtWarWith
Indicates that two countries are engaged in an active state of war or armed conflict with each other.
-
D.
warParticipatedIn
Indicates that an entity took part as a combatant or active participant in a specific war or armed conflict.
-
E.
militaryConflictCovered
Indicates that one entity (such as a document, report, or media item) covers, describes, or reports on a specific military conflict involving another entity.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8701ea481908c86c2359f5dc957 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75ce71944819089eee9b5c9283cbd |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.