Triple
T25110490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد علی جناح |
E628975
|
entity |
| Predicate | پیشہ |
P157943
|
FINISHED |
| Object | قانون دان |
—
|
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: قانون دان | Statement: [محمد علی جناح, پیشہ, قانون دان]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: پیشہ Context triple: [محمد علی جناح, پیشہ, قانون دان]
-
A.
پیشہ
chosen
Indicates a relationship where one entity’s occupation, job, or professional role is identified in connection with another entity.
-
B.
конфессия
Indicates that an entity is associated with, belongs to, or is characterized by a particular religious denomination or confession.
-
C.
occupationAspiration
Indicates a person's desired or intended future occupation or career goal.
-
D.
praenomenOfOccupation
Indicates that a given praenomen (personal first name) is used as or associated with a particular occupation.
-
E.
natureOfOccupation
Indicates the type or character of a person's occupation, describing what kind of work or role it is rather than who performs it.
- 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_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:26 a.m.