Triple
T1428330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amr |
E30384
|
entity |
| Predicate | canBeComponentOf |
P5376
|
FINISHED |
| Object | Arabic full name |
—
|
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: Arabic full name | Statement: [Amr, canBeComponentOf, Arabic full name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeComponentOf Context triple: [Amr, canBeComponentOf, Arabic full name]
-
A.
isPublicComponentOf
Indicates that one entity is a publicly accessible or externally visible part or module of another, larger entity or system.
-
B.
canBeEmbeddedIn
chosen
Indicates that one entity can be inserted or integrated within another entity, typically preserving structure or compatibility.
-
C.
canBeConstructedWith
Indicates that one entity can be formed, built, or assembled using another entity as material, components, or means.
-
D.
isPartOfType
Indicates that one type or category is a constituent or subset within a larger, encompassing type or category.
-
E.
canBeAdaptedBy
Indicates that one entity is capable of being modified, adjusted, or tailored for use by 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.