Triple
T15626158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | صدر آزاد جموں و کشمیر |
E375683
|
entity |
| Predicate | officeLocation |
P40
|
FINISHED |
| Object | مظفرآباد |
E1182248
|
NE FINISHED |
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: مظفرآباد | Statement: [صدر آزاد جموں و کشمیر, officeLocation, مظفرآباد]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: مظفرآباد Context triple: [صدر آزاد جموں و کشمیر, officeLocation, مظفرآباد]
-
A.
مظفرآباد
chosen
مظفرآباد آزاد جموں و کشمیر کا دارالحکومت اور دریائے نیلم و جہلم کے سنگم پر واقع ایک اہم تاریخی و جغرافیائی شہر ہے۔
-
B.
Faisalabad
Faisalabad is a major industrial city in Pakistan’s Punjab province, known especially for its large textile industry and role as a commercial hub.
-
C.
Sargodha
Sargodha is a major city in central Pakistan known for its air force base and extensive citrus (particularly kinnow) production.
-
D.
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.
-
E.
Bahawalnagar
Bahawalnagar is a prominent city in Pakistan’s Punjab province, known as an agricultural and commercial hub near the border with India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb59535908190a3d085a5e74b06e8 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:14 a.m.