Triple
T13728765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | قانا |
E329734
|
entity |
| Predicate | تُذكر في |
P65341
|
FINISHED |
| Object | يوحنا 2:1-11 |
—
|
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: يوحنا 2:1-11 | Statement: [قانا, تُذكر في, يوحنا 2:1-11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تُذكر في Context triple: [قانا, تُذكر في, يوحنا 2:1-11]
-
A.
rememberedFor
Indicates that one entity is known or recognized primarily because of, or in association with, another entity or achievement.
-
B.
rememberedThrough
chosen
Indicates that one entity is remembered, commemorated, or kept in memory by means of, or through the influence of, another entity or medium.
-
C.
isRememberedOn
Indicates that an entity is commemorated, recalled, or honored on a specific date or occasion.
-
D.
isRememberedAs
Indicates that an entity is recalled or regarded in a particular way in someone’s memory or collective remembrance.
-
E.
recalledBy
Indicates that an entity is brought back, retrieved, or remembered as a result of another entity’s action or prompting.
- 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.