Triple
T26641748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norbugang Coronation Throne |
E668797
|
entity |
| Predicate | event |
P1664
|
FINISHED |
| Object |
coronation of Phuntsog Namgyal
The coronation of Phuntsog Namgyal was the 17th-century ceremony that inaugurated him as the first Chogyal (king) of Sikkim, marking the founding of the Sikkimese monarchy.
|
E1736510
|
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: coronation of Phuntsog Namgyal | Statement: [Norbugang Coronation Throne, event, coronation of Phuntsog Namgyal]
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: coronation of Phuntsog Namgyal Triple: [Norbugang Coronation Throne, event, coronation of Phuntsog Namgyal]
Generated description
The coronation of Phuntsog Namgyal was the 17th-century ceremony that inaugurated him as the first Chogyal (king) of Sikkim, marking the founding of the Sikkimese monarchy.
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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f616320b9c8190b3a5792ffcfe3bc1 |
completed | May 2, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11ec3f176c819093139c14525c7df5 |
completed | May 23, 2026, 6:04 p.m. |
| NEDg | Description generation | batch_6a11f74329f48190a78ce3f209f8a134 |
completed | May 23, 2026, 6:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11f7d911448190ae1b41d1cff8a85e |
completed | May 23, 2026, 6:54 p.m. |
Created at: April 27, 2026, 2:29 a.m.