Triple
T30969776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of Monufia |
E789061
|
entity |
| Predicate | officeNameInArabic |
P197737
|
FINISHED |
| Object | محافظ المنوفية |
—
|
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: محافظ المنوفية | Statement: [Governor of Monufia, officeNameInArabic, محافظ المنوفية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeNameInArabic Context triple: [Governor of Monufia, officeNameInArabic, محافظ المنوفية]
-
A.
officeNameInFrench
Indicates the French-language name or label used for a particular office or official position.
-
B.
officeNameInItalian
Indicates that an office’s name is given specifically in the Italian language.
-
C.
officeNameInSpanish
Indicates that an entity’s office name is expressed in the Spanish language.
-
D.
officeName
Indicates the official name assigned to an office or workplace.
-
E.
officeNameInPortuguese
Indicates the name or title of an office as expressed in the Portuguese language.
- 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_69f224c3a6b48190951add9b7b7f0271 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fea5e828cc8190a9b755a645dc56d2 |
completed | May 9, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69fea36443f08190b2aced9b4a0525fd |
completed | May 9, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69fea5e75a5481908a04d91ee7255ebb |
completed | May 9, 2026, 3:11 a.m. |
Created at: April 29, 2026, 8:54 p.m.