Triple
T16102137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | فؤاد الأول |
E390644
|
entity |
| Predicate | أول من |
P21887
|
FINISHED |
| Object | أول من حمل لقب ملك مصر في التاريخ الحديث |
—
|
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: أول من حمل لقب ملك مصر في التاريخ الحديث | Statement: [فؤاد الأول, أول من, أول من حمل لقب ملك مصر في التاريخ الحديث]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أول من Context triple: [فؤاد الأول, أول من, أول من حمل لقب ملك مصر في التاريخ الحديث]
-
A.
saidToBeTheFirst
Indicates that one entity is claimed or regarded as being the earliest or original instance of something relative to others.
-
B.
first
Indicates that one entity precedes all others in an ordered sequence or ranking.
-
C.
firstOf
Indicates that one entity is the earliest or initial member in an ordered sequence or collection relative to the others.
-
D.
firstToAchieve
chosen
Indicates that one entity was the earliest or initial entity to accomplish or attain a specified goal, status, or outcome before any others.
-
E.
wasFirst
Indicates that one entity occurred, appeared, or held a position before another in time or sequence.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6976ec8190b499e99b196b0285 |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.