Triple
T26138124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | تماثيل رمسيس الثاني |
E659436
|
entity |
| Predicate | تُعد |
P1120
|
FINISHED |
| Object | من أهم الآثار المصرية |
—
|
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: من أهم الآثار المصرية | Statement: [تماثيل رمسيس الثاني, تُعد, من أهم الآثار المصرية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تُعد Context triple: [تماثيل رمسيس الثاني, تُعد, من أهم الآثار المصرية]
-
A.
considered
chosen
Indicates that one entity regards, judges, or thinks about another entity in a particular way or context.
-
B.
تشكل
Indicates that something constitutes, forms, or makes up something else as part of a whole or structure.
-
C.
considersItself
Indicates that an entity regards or perceives itself in a particular way, role, or state.
-
D.
tends
Indicates that one entity regularly or characteristically behaves in a certain way or moves toward a particular state or outcome in relation to another.
-
E.
isSuitableFor
Indicates that one entity is appropriate, fitting, or well-matched for use, application, or association with 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60c698ae48190871cd445422bad91 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 8:18 p.m.