Triple
T30882408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fahda bint Asi Al Shuraim |
E786654
|
entity |
| Predicate | hasChildWhoBecame |
P193482
|
FINISHED |
| Object | King of Saudi Arabia |
—
|
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: King of Saudi Arabia | Statement: [Fahda bint Asi Al Shuraim, hasChildWhoBecame, King of Saudi Arabia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildWhoBecame Context triple: [Fahda bint Asi Al Shuraim, hasChildWhoBecame, King of Saudi Arabia]
-
A.
childBecame
Indicates that an entity transitioned into the role or state of being a child of another entity.
-
B.
adoptedChildWith
Indicates a parent–child relationship where the child has been legally adopted by the parent.
-
C.
hadChildren
Indicates that the subject person is a parent of one or more children.
-
D.
survivingChildOfParents
Indicates that one entity is a child who remains alive after the death of the specified parent or parents.
-
E.
hasAdoptiveSon
Indicates that one entity is the adoptive parent of another entity who is their son through legal adoption rather than biological descent.
- F. None of above. chosen
Provenance (4 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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69fd485e0c20819099756b4fe39ac326 |
completed | May 8, 2026, 2:20 a.m. |
Created at: April 29, 2026, 8:48 p.m.