Triple
T9692595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ancient Chinese Bronze Art |
E234569
|
entity |
| Predicate | featuresArtifactsFrom |
P89652
|
FINISHED |
| Object | early Chinese dynasties |
—
|
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: early Chinese dynasties | Statement: [The Ancient Chinese Bronze Art, featuresArtifactsFrom, early Chinese dynasties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresArtifactsFrom Context triple: [The Ancient Chinese Bronze Art, featuresArtifactsFrom, early Chinese dynasties]
-
A.
featuresArtifact
Indicates that one entity prominently includes, presents, or showcases another entity as an artifact.
-
B.
artifactType
Indicates the specific kind or category of artifact that an entity is classified as.
-
C.
discoveredArtifact
Indicates that an entity has found or uncovered a previously unknown or hidden artifact.
-
D.
hasArtFeature
Indicates that an entity possesses or is characterized by a particular artistic attribute, element, or stylistic feature.
-
E.
featuresSculptureOf
Indicates that one entity includes or displays a sculpture that depicts or represents 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d05d70c8190b1ddcd24b50b4f50 |
completed | April 1, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b840f081909f66bf0b66d17d9b |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd9408c848190b84dd74d87f76273 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:17 p.m.