Triple
T12082627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سيف الإسلام معمر القذافي |
E287717
|
entity |
| Predicate | الترتيب_بين_الأبناء |
P20593
|
FINISHED |
| Object | أحد أبناء معمر القذافي البارزين |
—
|
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: أحد أبناء معمر القذافي البارزين | Statement: [سيف الإسلام معمر القذافي, الترتيب_بين_الأبناء, أحد أبناء معمر القذافي البارزين]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الترتيب_بين_الأبناء Context triple: [سيف الإسلام معمر القذافي, الترتيب_بين_الأبناء, أحد أبناء معمر القذافي البارزين]
-
A.
positionInFamilyBirthOrder
chosen
Indicates the relative order in which a person was born within their family (e.g., first-born, middle child, last-born).
-
B.
temOrdemMãe
Indicates that one entity has a maternal order or hierarchy relationship with another entity, where the first is organized or governed under the authority or precedence of the second in a mother-related context.
-
C.
daughters
Indicates that one entity is the female child of another entity.
-
D.
adoptedChildren
Indicates that one entity has legally taken another entity as their child through adoption.
-
E.
childInFamily
Indicates that one entity is a child member within the family unit defined by the other 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.