Triple
T32793199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qing dynasty calligraphy |
E838684
|
entity |
| Predicate | majorTrend |
P198466
|
FINISHED |
| Object | stele school |
—
|
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: stele school | Statement: [Qing dynasty calligraphy, majorTrend, stele school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorTrend Context triple: [Qing dynasty calligraphy, majorTrend, stele school]
-
A.
majorSee
Indicates that one entity serves as the primary or most important location where another entity is based, operates, or is centered.
-
B.
majorType
Indicates that one entity is classified as the primary or main type/category of another entity.
-
C.
majorFor
Indicates that an academic program, field of study, or specialization is the primary major associated with a particular student or degree.
-
D.
major
Indicates that one entity is the primary field of academic specialization or main area of study for another entity.
-
E.
majorPrimary
Indicates that one entity serves as the main or most important primary counterpart or component in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69f3493c7f6881908edf2aa13631d1e0 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
| PDg | Predicate description generation | batch_69fee690af688190a845310f102a0c83 |
completed | May 9, 2026, 7:47 a.m. |
Created at: May 1, 2026, 1:14 a.m.