Triple
T4360801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bin Abdullah |
E98654
|
entity |
| Predicate | indicatesRelationship |
P10690
|
FINISHED |
| Object | filial relationship to Abdullah |
—
|
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: filial relationship to Abdullah | Statement: [bin Abdullah, indicatesRelationship, filial relationship to Abdullah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indicatesRelationship Context triple: [bin Abdullah, indicatesRelationship, filial relationship to Abdullah]
-
A.
reportsRelationship
Indicates that one entity formally provides information, findings, or status about another entity or situation.
-
B.
relationshipType
chosen
Indicates the specific kind of relationship that exists between two or more entities.
-
C.
definesRelationshipBetween
Indicates that one entity specifies or establishes the nature, type, or rules of a relationship that exists between two or more other entities.
-
D.
representsInRelationsWith
Indicates that an entity serves as a representative or proxy for another entity within a specified relationship or set of relationships.
-
E.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e3220881909dc9d02ab024abf5 |
completed | March 12, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:16 p.m.