Triple
T26138148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | تماثيل رمسيس الثاني |
E659436
|
entity |
| Predicate | نُحتت_بواسطة |
P18789
|
FINISHED |
| Object | فناني الدولة الحديثة |
—
|
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: فناني الدولة الحديثة | Statement: [تماثيل رمسيس الثاني, نُحتت_بواسطة, فناني الدولة الحديثة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نُحتت_بواسطة Context triple: [تماثيل رمسيس الثاني, نُحتت_بواسطة, فناني الدولة الحديثة]
-
A.
carvedBy
chosen
Indicates that one entity has been shaped, cut, or sculpted from a material by another entity through a carving process.
-
B.
carvedOutOf
Indicates that one entity has been physically shaped, cut, or formed from the material of another entity.
-
C.
carvedInto
Indicates that one entity has been shaped, cut, or sculpted so that it takes the form or likeness of another entity.
-
D.
artworkBy
Indicates that one entity is the creator or artist responsible for producing the other entity as an artwork.
-
E.
carvedAt
Indicates that an object or material was carved at a specific location or during a specific time.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60be1d2408190820365bf7d8436bd |
completed | May 2, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:18 p.m.