Triple
T11150025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan–United States relations |
E263759
|
entity |
| Predicate | UnitedStatesDesignatedJordanMajorNonNATOAlly |
P8529
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Jordan–United States relations, UnitedStatesDesignatedJordanMajorNonNATOAlly, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UnitedStatesDesignatedJordanMajorNonNATOAlly Context triple: [Jordan–United States relations, UnitedStatesDesignatedJordanMajorNonNATOAlly, 1996]
-
A.
isNATOAllyOf
Indicates that one entity is a member of NATO and has a formal alliance relationship with the other entity within the NATO framework.
-
B.
hasParticipatingNATOAllies
Indicates that an entity is involved in an activity, operation, or arrangement together with one or more NATO member states as allies.
-
C.
UNMemberState
Indicates that a country is a recognized member state of the United Nations.
-
D.
diplomaticRelationBetween
Indicates the existence of a formal diplomatic relationship or ties between two political entities or states.
-
E.
receivesMilitaryAidFrom
chosen
Indicates that one entity obtains military assistance, such as equipment, training, or funding, from 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.