Triple
T20786874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | جامع القيروان الكبير |
E511661
|
entity |
| Predicate | أعيد_بناؤه |
P125287
|
FINISHED |
| Object | في العصر الأغلبي |
—
|
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: في العصر الأغلبي | Statement: [جامع القيروان الكبير, أعيد_بناؤه, في العصر الأغلبي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أعيد_بناؤه Context triple: [جامع القيروان الكبير, أعيد_بناؤه, في العصر الأغلبي]
-
A.
rebuiltFor
Indicates that one entity has been reconstructed, renovated, or modified specifically to serve the needs, purposes, or use of another entity.
-
B.
rebuild
Indicates restoring or constructing again something that was previously built, often after damage, destruction, or significant alteration.
-
C.
rebuiltUnder
Indicates that an entity was reconstructed or restored while being subject to the authority, control, or governance of another entity.
-
D.
reconstructedBuilding
chosen
Indicates that a building has been rebuilt or restored after damage, destruction, or significant alteration.
-
E.
recreated
Indicates that an entity has been created again or restored, typically after being removed, destroyed, or significantly altered.
- 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.