Triple
T11507069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Hunza |
E272811
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Murtazabad
Murtazabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous landscape and proximity to the Hunza River.
|
E933180
|
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: Murtazabad | Statement: [Lower Hunza, hasSettlement, Murtazabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murtazabad Context triple: [Lower Hunza, hasSettlement, Murtazabad]
-
A.
Wazirabad
Wazirabad is a city in the Gujranwala District of Punjab, Pakistan, known for its cutlery industry and strategic location near the Chenab River.
-
B.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
C.
Nasirabad
Nasirabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous terrain and proximity to the Karakoram Range.
-
D.
Khudabad
Khudabad was a historic city in Sindh, Pakistan, that served as the political and cultural center of the Kalhora dynasty in the 18th century.
-
E.
Mehmedabad
Mehmedabad is a town in the Kheda district of Gujarat, India, known for its historical significance and location along key regional transport routes.
- 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: Murtazabad Triple: [Lower Hunza, hasSettlement, Murtazabad]
Generated description
Murtazabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous landscape and proximity to the Hunza River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Murtazabad Target entity description: Murtazabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous landscape and proximity to the Hunza River.
-
A.
Wazirabad
Wazirabad is a city in the Gujranwala District of Punjab, Pakistan, known for its cutlery industry and strategic location near the Chenab River.
-
B.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
C.
Nasirabad
Nasirabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous terrain and proximity to the Karakoram Range.
-
D.
Khudabad
Khudabad was a historic city in Sindh, Pakistan, that served as the political and cultural center of the Kalhora dynasty in the 18th century.
-
E.
Mehmedabad
Mehmedabad is a town in the Kheda district of Gujarat, India, known for its historical significance and location along key regional transport routes.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db43a648190be859bec2fe9f43b |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e7a6cd3081909c8a86aa0870523c |
completed | April 21, 2026, 2:57 a.m. |
| NEDg | Description generation | batch_69e6ef8fca248190bc2fdd8457258874 |
completed | April 21, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f8ec88e88190bfa21c2d06d67bd8 |
completed | April 21, 2026, 4:11 a.m. |
Created at: April 8, 2026, 9:36 p.m.