Triple
T15741602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabic Yaʼ |
E381614
|
entity |
| Predicate | joiningType |
P20417
|
FINISHED |
| Object | dual-joining |
—
|
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: dual-joining | Statement: [Arabic Yaʼ, joiningType, dual-joining]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: joiningType Context triple: [Arabic Yaʼ, joiningType, dual-joining]
-
A.
joins
Indicates that one entity becomes a member or part of another entity, typically by entering into an organization, group, or association.
-
B.
joinedByInPart
Indicates that multiple entities are connected or associated together through a shared participation in a specific part or component of something.
-
C.
linkType
chosen
Indicates the specific kind or category of relationship that connects two linked entities.
-
D.
combinationType
Indicates how multiple elements are combined or related to each other within a composite structure or operation.
-
E.
junctionOf
Indicates that one or more entities meet or intersect at a common point, forming a junction between them.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.