Triple
T33791976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | يعقوب المنصور الموحدي |
E865954
|
entity |
| Predicate | سبقه |
P177703
|
FINISHED |
| Object |
أبو يعقوب يوسف بن عبد المؤمن
أبو يعقوب يوسف بن عبد المؤمن هو رابع خلفاء الدولة الموحدية في المغرب والأندلس، عُرف بتوسيع نفوذ دولته ورعايته للعلم والعمران.
|
E2069105
|
NE FINISHED |
How this triple was built (3 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: أبو يعقوب يوسف بن عبد المؤمن | Statement: [يعقوب المنصور الموحدي, سبقه, أبو يعقوب يوسف بن عبد المؤمن]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: أبو يعقوب يوسف بن عبد المؤمن Triple: [يعقوب المنصور الموحدي, سبقه, أبو يعقوب يوسف بن عبد المؤمن]
Generated description
أبو يعقوب يوسف بن عبد المؤمن هو رابع خلفاء الدولة الموحدية في المغرب والأندلس، عُرف بتوسيع نفوذ دولته ورعايته للعلم والعمران.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: سبقه Context triple: [يعقوب المنصور الموحدي, سبقه, أبو يعقوب يوسف بن عبد المؤمن]
-
A.
بارزة
Indicates that something is prominent, conspicuous, or stands out clearly in relation to other things.
-
B.
قبلة
Indicates a kissing action or gesture occurring between entities.
-
C.
קיבל
Indicates that an entity received or was given something from another entity.
-
D.
نوقشفي
Indicates that something or someone was discussed or debated within a particular context or setting.
-
E.
شهد
Indicates that an entity witnessed, observed, or was present at an event or occurrence involving another entity.
- F. None of above. chosen
Provenance (7 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a366e8f3a3c8190b5eb5322abe79b54 |
completed | June 20, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_6a366f99682c8190a875e60f1003c54e |
completed | June 20, 2026, 10:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36702f94d08190b0e223b1d1b2c917 |
completed | June 20, 2026, 10:49 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.