Triple
T13728766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | قانا |
E329734
|
entity |
| Predicate | تُستخدم كرمز لـ |
P129
|
FINISHED |
| Object | الفرح في اللاهوت المسيحي |
—
|
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: الفرح في اللاهوت المسيحي | Statement: [قانا, تُستخدم كرمز لـ, الفرح في اللاهوت المسيحي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تُستخدم كرمز لـ Context triple: [قانا, تُستخدم كرمز لـ, الفرح في اللاهوت المسيحي]
-
A.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
B.
symbolicallyUses
Indicates that one entity employs another as a symbol or representation to convey meaning, ideas, or associations rather than for its literal or practical function.
-
C.
usedToMark
Indicates that one entity serves as a marker, label, or indicator for another entity.
-
D.
logoUsedIn
Indicates that a particular logo is employed or displayed within a specified context, medium, or artifact.
-
E.
designationUsedFor
Indicates that a particular name, label, or title is employed to refer to or identify a specific entity or role.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:55 p.m.