Triple
T30818159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | السنة النبوية |
E784841
|
entity |
| Predicate | تجمع في |
P170530
|
FINISHED |
| Object | كتب الحديث |
—
|
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: كتب الحديث | Statement: [السنة النبوية, تجمع في, كتب الحديث]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تجمع في Context triple: [السنة النبوية, تجمع في, كتب الحديث]
-
A.
gathering
Indicates that one or more entities are coming together or being brought together into a group at a particular time or place.
-
B.
convenesIn
Indicates that an entity brings together or assembles a group, meeting, or event at a specific place or venue.
-
C.
convenedIn
Indicates that an event, meeting, or formal gathering was brought together and held at a specific location.
-
D.
convenes
Indicates bringing people or groups together to formally meet, discuss, or deliberate on a particular matter.
-
E.
convenesAlongside
Indicates that one event, meeting, or session is held at the same time and in coordination with another, typically as a parallel or accompanying gathering.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6906ad50481909a700664e0b70fb0 |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68fb914b88190b0cad83ea9fe9dfc |
completed | May 2, 2026, 11:58 p.m. |
Created at: April 29, 2026, 8:44 p.m.