Triple
T25110508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد علی جناح |
E628975
|
entity |
| Predicate | مشہور_خطاب |
P157944
|
FINISHED |
| Object | بابائے قوم |
—
|
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: بابائے قوم | Statement: [محمد علی جناح, مشہور_خطاب, بابائے قوم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مشہور_خطاب Context triple: [محمد علی جناح, مشہور_خطاب, بابائے قوم]
-
A.
اشتهر_بقصة
Indicates that someone or something became well-known or famous specifically because of a particular story.
-
B.
knownInIslamAs
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.
شهرت اصلی
Indicates a primary or most notable form of fame or recognition associated with an entity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 6:26 a.m.