Triple
T25110507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد علی جناح |
E628975
|
entity |
| Predicate | مشہور_خطاب |
P29994
|
FINISHED |
| Object | قائدِ اعظم |
—
|
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: قائدِ اعظم | Statement: [محمد علی جناح, مشہور_خطاب, قائدِ اعظم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مشہور_خطاب Context triple: [محمد علی جناح, مشہور_خطاب, قائدِ اعظم]
-
A.
اشتهر_بقصة
Indicates that someone or something became well-known or famous specifically because of a particular story.
-
B.
knownInIslamAs
chosen
Indicates that an entity is referred to by a particular name, title, or designation specifically within the context of Islam or Islamic tradition.
-
C.
مصحفياً
Indicates that someone is acting in the capacity of a Qur’an specialist or is engaged in work related to the writing, editing, or production of the Qur’anic text.
-
D.
ذُكر_في
Indicates that an entity is mentioned or referenced within another entity, such as a text, document, or source.
-
E.
تصدر
Indicates that an entity issues, publishes, or comes out as something (e.g., a statement, decision, or item) in relation to another entity or context.
- 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.