Triple
T25110501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد علی جناح |
E628975
|
entity |
| Predicate | پیشہ_آغاز |
P112203
|
FINISHED |
| Object | وکیل بمبئی ہائی کورٹ |
—
|
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: وکیل بمبئی ہائی کورٹ | Statement: [محمد علی جناح, پیشہ_آغاز, وکیل بمبئی ہائی کورٹ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: پیشہ_آغاز Context triple: [محمد علی جناح, پیشہ_آغاز, وکیل بمبئی ہائی کورٹ]
-
A.
careerStart
Indicates the point in time when an entity begins its professional career or main occupational activity.
-
B.
careerStartAs
chosen
Indicates the role, position, or occupation in which an individual first began their professional career.
-
C.
occupationBegan
Indicates the point in time when an entity started holding a particular occupation or job.
-
D.
occupationAspiration
Indicates a person's desired or intended future occupation or career goal.
-
E.
professionStartLocation
Indicates the place where an individual begins or first takes up their profession or career.
- 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_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:26 a.m.