Triple
T6689842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diaguita culture |
E152595
|
entity |
| Predicate | ceramicCharacteristic |
P16367
|
FINISHED |
| Object | red-black-white polychrome |
—
|
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: red-black-white polychrome | Statement: [Diaguita culture, ceramicCharacteristic, red-black-white polychrome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceramicCharacteristic Context triple: [Diaguita culture, ceramicCharacteristic, red-black-white polychrome]
-
A.
eraOfPorcelain
Indicates the historical period or era during which a particular style or type of porcelain was produced or prominent.
-
B.
catalogCharacteristic
Indicates that a catalog has a specific characteristic or attribute associated with it.
-
C.
ceramicsDistrict
Indicates that an entity is located in, associated with, or designated as a district known for ceramics production, trade, or related activities.
-
D.
constructionCharacteristic
Indicates a specific structural or material property that characterizes how something is built or constructed.
-
E.
artisticCharacteristic
chosen
Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cd0fa5188190a23281cb09d98139 |
completed | March 27, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0d3c1081908dadff7a6a054123 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:04 p.m.