Triple
T33791989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | يعقوب المنصور الموحدي |
E865954
|
entity |
| Predicate | بنى |
P177705
|
FINISHED |
| Object | صومعة حسان في الرباط |
—
|
NE NERFINISHED |
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: صومعة حسان في الرباط | Statement: [يعقوب المنصور الموحدي, بنى, صومعة حسان في الرباط]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: بنى Context triple: [يعقوب المنصور الموحدي, بنى, صومعة حسان في الرباط]
-
A.
בת
Indicates a parent–child relationship where one entity is the daughter of another entity.
-
B.
باب
Indicates a relationship where one entity serves as a door, gate, or entry point to another entity, allowing or controlling access between them.
-
C.
bay
Indicates that one entity howls or barks loudly, often repeatedly, typically in reaction to something such as prey, the moon, or a disturbance.
-
D.
بارزة
Indicates that something is prominent, conspicuous, or stands out clearly in relation to other things.
-
E.
by
Indicates that an action is performed, caused, or authored through the agency, means, or proximity of a specified entity.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:45 a.m.