Triple
T25110493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد علی جناح |
E628975
|
entity |
| Predicate | پہلا_گورنر_جنرل |
P38033
|
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, پہلا_گورنر_جنرل, پاکستان]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: پہلا_گورنر_جنرل Context triple: [محمد علی جناح, پہلا_گورنر_جنرل, پاکستان]
-
A.
designatedAsFirstGovernorGeneralOfIndia
chosen
Indicates that one entity was formally designated or recognized as the first Governor-General of India in relation to the other entity.
-
B.
firstViceroy
Indicates that one entity is the first person to hold the position or title of viceroy over another entity.
-
C.
notableGovernorGeneral
Indicates that the subject is a Governor General who is recognized as notable or distinguished in that role.
-
D.
madeGovernorGeneralOfBengal
Indicates that a person was appointed to the position of Governor-General of Bengal.
-
E.
firstRajpramukh
Indicates that the subject is the first person to hold the position or title of Rajpramukh.
- 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.