Triple
T21590582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | آل عمران |
E532766
|
entity |
| Predicate | افتتحت بـ |
P104136
|
FINISHED |
| Object | الحروف المقطعة (الم) |
—
|
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: الحروف المقطعة (الم) | Statement: [آل عمران, افتتحت بـ, الحروف المقطعة (الم)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: افتتحت بـ Context triple: [آل عمران, افتتحت بـ, الحروف المقطعة (الم)]
-
A.
تُفتتح بدون
Indicates that something is opened or inaugurated without the presence, inclusion, or use of a specified person, thing, or condition.
-
B.
openingBegan
Indicates that the process of opening something has started.
-
C.
initialOpening
Indicates the first or earliest instance in which something is opened, begun, or made accessible.
-
D.
hasOpenedFor
chosen
Indicates that one entity has performed or appeared as the opening act or preliminary participant for another entity, typically in an event or performance context.
-
E.
openedToPublicBy
Indicates that an entity was made accessible or available to the general public through the action or decision of another entity.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefadd0ec88190929c76137bd1603e |
completed | April 27, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:32 p.m.