Triple
T25110505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد علی جناح |
E628975
|
entity |
| Predicate | پارلیمانی_رکنیت |
P81398
|
FINISHED |
| Object |
سنٹرل لیجسلیٹو اسمبلی
سنٹرل لیجسلیٹو اسمبلی برطانوی ہند کی مرکزی قانون ساز مجلس تھی جو نوآبادیاتی دور میں قانون سازی اور حکومتی معاملات کی نگرانی کا اہم فورم رہی۔
|
E1662201
|
NE FINISHED |
How this triple was built (3 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: سنٹرل لیجسلیٹو اسمبلی | Statement: [محمد علی جناح, پارلیمانی_رکنیت, سنٹرل لیجسلیٹو اسمبلی]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: سنٹرل لیجسلیٹو اسمبلی Triple: [محمد علی جناح, پارلیمانی_رکنیت, سنٹرل لیجسلیٹو اسمبلی]
Generated description
سنٹرل لیجسلیٹو اسمبلی برطانوی ہند کی مرکزی قانون ساز مجلس تھی جو نوآبادیاتی دور میں قانون سازی اور حکومتی معاملات کی نگرانی کا اہم فورم رہی۔
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: پارلیمانی_رکنیت Context triple: [محمد علی جناح, پارلیمانی_رکنیت, سنٹرل لیجسلیٹو اسمبلی]
-
A.
parliamentEntry
chosen
Indicates that an entity assumes or is granted membership or a seat in a parliamentary body.
-
B.
parliamentaryRecognition
Indicates that a parliament has formally acknowledged, endorsed, or conferred official status upon a person, group, document, or decision.
-
C.
rankInParliament
Indicates the hierarchical position or level of authority that an individual holds within a parliamentary body.
-
D.
hasMemberOfParliament
Indicates that an entity is represented by a specific individual serving as its Member of Parliament.
-
E.
parliamentary
Indicates that an entity is related to, governed by, or characteristic of a parliamentary system, institution, or process.
- F. None of above.
Provenance (6 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1048f4cf108190b1bc1ccc3f7829bd |
completed | May 22, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a104a09687c819088fa6a920817bbb7 |
completed | May 22, 2026, 12:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a104aa15f248190ba69524b7d516bc1 |
completed | May 22, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:26 a.m.