Triple
T25847379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trần Hưng Đạo |
E651109
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Vạn Kiếp tông bí truyền thư
Vạn Kiếp tông bí truyền thư is a Vietnamese military treatise traditionally attributed to Trần Hưng Đạo, outlining strategies and tactics for warfare and national defense.
|
E1699186
|
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: Vạn Kiếp tông bí truyền thư | Statement: [Trần Hưng Đạo, notableWork, Vạn Kiếp tông bí truyền thư]
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: Vạn Kiếp tông bí truyền thư Triple: [Trần Hưng Đạo, notableWork, Vạn Kiếp tông bí truyền thư]
Generated description
Vạn Kiếp tông bí truyền thư is a Vietnamese military treatise traditionally attributed to Trần Hưng Đạo, outlining strategies and tactics for warfare and national defense.
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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f602392a048190ae5ac8ebf09a3f45 |
completed | May 2, 2026, 1:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10da3728f48190991adcd244c4f7a5 |
completed | May 22, 2026, 10:35 p.m. |
| NEDg | Description generation | batch_6a10dc6fb1508190a14c70bbe0302671 |
completed | May 22, 2026, 10:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10dd08394081908d41ab46ad30a279 |
completed | May 22, 2026, 10:47 p.m. |
Created at: April 22, 2026, 7:53 a.m.