Triple
T11507068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Hunza |
E272811
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Nasirabad
Nasirabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous terrain and proximity to the Karakoram Range.
|
E931820
|
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: Nasirabad | Statement: [Lower Hunza, hasSettlement, Nasirabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nasirabad Context triple: [Lower Hunza, hasSettlement, Nasirabad]
-
A.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
B.
Asadabad
Asadabad is a city in western Iran that serves as an administrative and population center within Hamedan Province.
-
C.
Asadabad
Asadabad is a small but strategically important city in eastern Afghanistan, serving as the capital of Kunar Province near the Pakistani border.
-
D.
Nazarabad
Nazarabad is a city in Iran that serves as an important urban center within Alborz Province.
-
E.
Sharifabad
Sharifabad is a town located in Pakdasht County within Tehran Province in Iran.
- 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: Nasirabad Triple: [Lower Hunza, hasSettlement, Nasirabad]
Generated description
Nasirabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous terrain and proximity to the Karakoram Range.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nasirabad Target entity description: Nasirabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous terrain and proximity to the Karakoram Range.
-
A.
Nasirabad
Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
-
B.
Asadabad
Asadabad is a city in western Iran that serves as an administrative and population center within Hamedan Province.
-
C.
Asadabad
Asadabad is a small but strategically important city in eastern Afghanistan, serving as the capital of Kunar Province near the Pakistani border.
-
D.
Nazarabad
Nazarabad is a city in Iran that serves as an important urban center within Alborz Province.
-
E.
Sharifabad
Sharifabad is a town located in Pakdasht County within Tehran Province in Iran.
- 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_69e6851b0f0481909d61e343b000530b |
completed | April 20, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69e68fd6b6088190b24f552b5afc3f55 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6b7a31b4081909b06bc9b6d0a1617 |
completed | April 20, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:36 p.m.