Triple
T4253496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Punjab, Pakistan |
E95914
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Khanewal
Khanewal is a prominent city in Pakistan’s Punjab province, known as an important railway junction and agricultural trade center.
|
E445973
|
NE FINISHED |
How this triple was built (4 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: Khanewal | Statement: [Southern Punjab, Pakistan, hasMajorCity, Khanewal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khanewal Context triple: [Southern Punjab, Pakistan, hasMajorCity, Khanewal]
-
A.
Chakwal
Chakwal is a city in Pakistan’s Punjab province, known as a regional administrative and commercial center in the Potohar Plateau area.
-
B.
Bahawalpur
Bahawalpur is a historic city in southern Punjab, Pakistan, known for its former princely state status, grand palaces, and proximity to the Cholistan Desert.
-
C.
Sialkot
Sialkot is a major industrial city in Pakistan’s Punjab province, renowned globally for its production of sports goods and surgical instruments.
-
D.
Haripur
Haripur is a city in northern Pakistan known as an administrative and commercial center in the Hazara region of Khyber Pakhtunkhwa.
-
E.
Khairpur
Khairpur is a historic city in Sindh, Pakistan, known for its former princely state status under the Talpur rulers and its rich cultural and architectural heritage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Khanewal Triple: [Southern Punjab, Pakistan, hasMajorCity, Khanewal]
Generated description
Khanewal is a prominent city in Pakistan’s Punjab province, known as an important railway junction and agricultural trade center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khanewal Target entity description: Khanewal is a prominent city in Pakistan’s Punjab province, known as an important railway junction and agricultural trade center.
-
A.
Chakwal
Chakwal is a city in Pakistan’s Punjab province, known as a regional administrative and commercial center in the Potohar Plateau area.
-
B.
Bahawalpur
Bahawalpur is a historic city in southern Punjab, Pakistan, known for its former princely state status, grand palaces, and proximity to the Cholistan Desert.
-
C.
Sialkot
Sialkot is a major industrial city in Pakistan’s Punjab province, renowned globally for its production of sports goods and surgical instruments.
-
D.
Haripur
Haripur is a city in northern Pakistan known as an administrative and commercial center in the Hazara region of Khyber Pakhtunkhwa.
-
E.
Khairpur
Khairpur is a historic city in Sindh, Pakistan, known for its former princely state status under the Talpur rulers and its rich cultural and architectural heritage.
- F. None of above. chosen
Provenance (5 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ebe6fbc8190a89269b478b3f435 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd569f30088190bdc9ea72fe35be35 |
completed | March 20, 2026, 2:15 p.m. |
| NEDg | Description generation | batch_69bd5799d63481908795f22dad3ffc2a |
completed | March 20, 2026, 2:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd580f65108190b9417fd25609b57c |
completed | March 20, 2026, 2:22 p.m. |
Created at: March 12, 2026, 11:06 p.m.