Triple
T30046222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuzi |
E763459
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Seven Military Classics of Ancient China
The Seven Military Classics of Ancient China are a canonical collection of ancient Chinese military treatises that shaped East Asian strategic thought and were required study for imperial military officials.
|
E1901972
|
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: Seven Military Classics of Ancient China | Statement: [Wuzi, partOf, Seven Military Classics of Ancient China]
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: Seven Military Classics of Ancient China Triple: [Wuzi, partOf, Seven Military Classics of Ancient China]
Generated description
The Seven Military Classics of Ancient China are a canonical collection of ancient Chinese military treatises that shaped East Asian strategic thought and were required study for imperial military officials.
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_69f22470a89c8190be7273297c0e0d19 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67a11bf2c81908a5e9fb6c3ef7752 |
completed | May 2, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a274c9a57dc8190b63b8662db7229dd |
completed | June 8, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_6a274ddf8d688190b480d115456651c3 |
completed | June 8, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a274eb19fd48190a2d38ace0cc22b77 |
completed | June 8, 2026, 11:22 p.m. |
Created at: April 29, 2026, 6:54 p.m.