Triple
T21137227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanshu |
E520843
|
entity |
| Predicate | includesTreatiseOn |
P37921
|
FINISHED |
| Object | astronomy |
—
|
LITERAL 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: astronomy | Statement: [Hanshu, includesTreatiseOn, astronomy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesTreatiseOn Context triple: [Hanshu, includesTreatiseOn, astronomy]
-
A.
containsTractate
chosen
Indicates that one entity includes or encompasses a specific tractate as part of its contents or structure.
-
B.
hasTextbookTreatmentIn
Indicates that an entity is covered or discussed in a textbook within a specified context, section, or source.
-
C.
textsIncludedIn
Indicates that certain texts are contained within, or form a subset of, a larger collection or body of texts.
-
D.
includesDictumBy
Indicates that something (such as a document, decision, or judgment) contains or incorporates a specific dictum made by a particular source or authority.
-
E.
hasTheoreticalTreatment
Indicates that a subject is associated with, or described by, a theoretical explanation, model, or framework addressing it.
- F. None of above.
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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7235b89188190a6209c0a1839ee03 |
completed | April 21, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e5f5ed6c8c8190b31092a5d4c3de5d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:57 p.m.