Triple
T38323742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram Bahadur Thapa (Badal) |
E1036725
|
entity |
| Predicate | heldOffice |
P537
|
FINISHED |
| Object |
Home Minister of Nepal
The Home Minister of Nepal is the cabinet official responsible for overseeing the country’s internal security, law and order, and administration of the home affairs ministry.
|
E2264722
|
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: Home Minister of Nepal | Statement: [Ram Bahadur Thapa (Badal), heldOffice, Home Minister of Nepal]
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: Home Minister of Nepal Triple: [Ram Bahadur Thapa (Badal), heldOffice, Home Minister of Nepal]
Generated description
The Home Minister of Nepal is the cabinet official responsible for overseeing the country’s internal security, law and order, and administration of the home affairs ministry.
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_69f76e1c16fc8190bde982289dd5106b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcc68c77c08190ab89735b7f893ee6 |
completed | May 7, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a419e1bf70881908cbe58a46db82daf |
completed | June 28, 2026, 10:20 p.m. |
| NEDg | Description generation | batch_6a419f2312b88190a4f217354ab74e8f |
completed | June 28, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a419fa35dc88190aeff12a429dfc3af |
completed | June 28, 2026, 10:26 p.m. |
Created at: May 3, 2026, 4:30 p.m.