Triple
T26507855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tlatilco |
E669597
|
entity |
| Predicate | ceramicStyle |
P90535
|
FINISHED |
| Object | black burnished ware |
—
|
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: black burnished ware | Statement: [Tlatilco, ceramicStyle, black burnished ware]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceramicStyle Context triple: [Tlatilco, ceramicStyle, black burnished ware]
-
A.
hasCeramicsType
chosen
Indicates that an entity is associated with or classified by a specific type or category of ceramics.
-
B.
ceramicsDistrict
Indicates that an entity is located in, associated with, or designated as a district known for ceramics production, trade, or related activities.
-
C.
eraOfPorcelain
Indicates the historical period or era during which a particular style or type of porcelain was produced or prominent.
-
D.
interiorStyle
Indicates that one entity has a particular interior design style or aesthetic characterized by the other entity.
-
E.
ornamentationStyle
Indicates the decorative design or stylistic approach applied as ornamentation to an entity.
- 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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 1:17 a.m.