Triple
T20786872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | جامع القيروان الكبير |
E511661
|
entity |
| Predicate | تاريخ_الإنشاء_ميلادي |
P141540
|
FINISHED |
| Object | حوالي 670 م |
—
|
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: حوالي 670 م | Statement: [جامع القيروان الكبير, تاريخ_الإنشاء_ميلادي, حوالي 670 م]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تاريخ_الإنشاء_ميلادي Context triple: [جامع القيروان الكبير, تاريخ_الإنشاء_ميلادي, حوالي 670 م]
-
A.
dateSecularized
Indicates the date on which a religious or ecclesiastical entity was formally converted to secular (non-religious) status.
-
B.
standardDateSince1937
Indicates that the referenced date conforms to the standard date format or convention that has been in effect since the year 1937.
-
C.
calendarEpoch
Indicates the reference starting point in time from which a particular calendar system counts its dates.
-
D.
eraChronology
Indicates the temporal ordering relationship that places an era within a specific position in a broader historical or chronological sequence.
-
E.
usesJulianCalendar
Indicates that the subject follows or is based on the Julian calendar system for dating events or timekeeping.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:38 p.m.