Triple
T27172621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عماد فايز مغنية |
E682959
|
entity |
| Predicate | فترة النشاط |
P98493
|
FINISHED |
| Object | بداية الألفية الثالثة |
—
|
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: بداية الألفية الثالثة | Statement: [عماد فايز مغنية, فترة النشاط, بداية الألفية الثالثة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: فترة النشاط Context triple: [عماد فايز مغنية, فترة النشاط, بداية الألفية الثالثة]
-
A.
dormancyPeriod
Indicates the length of time an entity remains inactive or in a dormant state before resuming activity.
-
B.
activeAt
chosen
Indicates that an entity is functioning, valid, or in effect during a specified time or at a particular location or context.
-
C.
activationTime
Indicates the specific point in time at which an entity, process, or function becomes active or starts operating.
-
D.
agingPeriod
Indicates the length of time something is allowed or intended to mature or age before reaching its final or usable state.
-
E.
activeAround
Indicates that an entity is performing actions or exhibiting activity in the vicinity of another entity or location.
- 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62549039c8190af7159d07416c985 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 9:24 a.m.