Triple
T20786876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | جامع القيروان الكبير |
E511661
|
entity |
| Predicate | تاريخ_إعادة_البناء |
P8589
|
FINISHED |
| Object | القرن التاسع الميلادي |
—
|
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: القرن التاسع الميلادي | Statement: [جامع القيروان الكبير, تاريخ_إعادة_البناء, القرن التاسع الميلادي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تاريخ_إعادة_البناء Context triple: [جامع القيروان الكبير, تاريخ_إعادة_البناء, القرن التاسع الميلادي]
-
A.
historicalReconstruction
Indicates the process of recreating or inferring past events, conditions, or states of affairs based on available evidence or records.
-
B.
reconstructionBuiltAt
Indicates that a reconstruction of something was built or carried out at a specific location or site.
-
C.
reconstructionOrRestorationDate
chosen
Indicates the date on which an entity was reconstructed or restored after damage, alteration, or deterioration.
-
D.
rebuiltOn
Indicates that one entity has been reconstructed, restored, or built again on, over, or using the foundation, structure, or basis of another entity.
-
E.
rebuiltInDynasty
Indicates that something was reconstructed or significantly renovated during a specified dynasty.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28d24708190bf3890a22d1ec4b7 |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:38 p.m.