Triple
T14555362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gujranwala Division |
E341522
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Mandi Bahauddin
Mandi Bahauddin is a prominent city in Pakistan’s Punjab province, known as an agricultural and commercial hub in the region.
|
E1126406
|
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: Mandi Bahauddin | Statement: [Gujranwala Division, hasMajorCity, Mandi Bahauddin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandi Bahauddin Context triple: [Gujranwala Division, hasMajorCity, Mandi Bahauddin]
-
A.
Bahawalnagar
Bahawalnagar is a prominent city in Pakistan’s Punjab province, known as an agricultural and commercial hub near the border with India.
-
B.
Rahim Yar Khan
Rahim Yar Khan is a major city in southern Punjab, Pakistan, known as an important commercial and agricultural center in the Seraiki-speaking region.
-
C.
Haripur
Haripur is a city in northern Pakistan known as an administrative and commercial center in the Hazara region of Khyber Pakhtunkhwa.
-
D.
Khanewal
Khanewal is a prominent city in Pakistan’s Punjab province, known as an important railway junction and agricultural trade center.
-
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: Mandi Bahauddin Triple: [Gujranwala Division, hasMajorCity, Mandi Bahauddin]
Generated description
Mandi Bahauddin is a prominent city in Pakistan’s Punjab province, known as an agricultural and commercial hub in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mandi Bahauddin Target entity description: Mandi Bahauddin is a prominent city in Pakistan’s Punjab province, known as an agricultural and commercial hub in the region.
-
A.
Bahawalnagar
Bahawalnagar is a prominent city in Pakistan’s Punjab province, known as an agricultural and commercial hub near the border with India.
-
B.
Rahim Yar Khan
Rahim Yar Khan is a major city in southern Punjab, Pakistan, known as an important commercial and agricultural center in the Seraiki-speaking region.
-
C.
Haripur
Haripur is a city in northern Pakistan known as an administrative and commercial center in the Hazara region of Khyber Pakhtunkhwa.
-
D.
Khanewal
Khanewal is a prominent city in Pakistan’s Punjab province, known as an important railway junction and agricultural trade center.
-
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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f1490881908673f429e5288c86 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe729f894881908647da558bef1031 |
completed | May 8, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69fe732a6e148190814cf358bafb76b4 |
completed | May 8, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe73fe39508190aa9b78617b729b51 |
completed | May 8, 2026, 11:38 p.m. |
Created at: April 10, 2026, 1:23 a.m.