Triple
T25110521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد علی جناح |
E628975
|
entity |
| Predicate | تعلق_ملک |
P149107
|
FINISHED |
| Object | پاکستان |
—
|
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: پاکستان | Statement: [محمد علی جناح, تعلق_ملک, پاکستان]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تعلق_ملک Context triple: [محمد علی جناح, تعلق_ملک, پاکستان]
-
A.
associatedSultan
Indicates that one entity is linked or connected to a particular sultan in some relevant context or relationship.
-
B.
relatedDecree
Indicates that one entity has a decree, order, or formal directive that is connected, associated, or otherwise relevant to another entity.
-
C.
الملكية
chosen
Indicates a relationship in which one entity possesses, owns, or has legal control over another entity or resource.
-
D.
مرتبطب
Indicates a relationship of being connected, associated, or related to something or someone.
-
E.
associatedHeir
Indicates that one entity is designated or recognized as the heir connected to, or inheriting from, 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f465767c48819086fa0573dca12276 |
completed | May 1, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:26 a.m.