Triple
T906967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Begum Hazrat Mahal |
E19568
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Kathmandu |
E32411
|
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: Kathmandu | Statement: [Begum Hazrat Mahal, placeOfDeath, Kathmandu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathmandu Context triple: [Begum Hazrat Mahal, placeOfDeath, Kathmandu]
-
A.
Kathmandu
chosen
Kathmandu is the capital and largest city of Nepal, serving as the country’s political, cultural, and economic center.
-
B.
Thimphu
Thimphu is the largest city of Bhutan and its political, economic, and cultural center, located in the western part of the country in the Himalayas.
-
C.
Dharamshala
Dharamshala is a hill town in northern India known as the residence of the Dalai Lama and the headquarters of the Tibetan government-in-exile.
-
D.
Nepal
Nepal is a landlocked South Asian country in the Himalayas, known for Mount Everest, its rich cultural heritage, and its location between India and China.
-
E.
Shimla
Shimla is a popular hill station and the capital city of Himachal Pradesh, known for its colonial-era architecture and scenic Himalayan surroundings in northern 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2cc85a08190bc8186eb9ed1fa38 |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf5c4acc8190a0f72ca30f187ed1 |
completed | March 4, 2026, 6:21 a.m. |
Created at: March 1, 2026, 7:39 p.m.